carbonnnnn commited on
Commit
54d8c8e
1 Parent(s): b7fabea

update main data df, minor changes in combined json

Browse files
app.py CHANGED
@@ -1,19 +1,74 @@
1
  import pandas as pd
2
  import gradio as gr
3
  import os
 
4
 
5
  text_leaderboard = pd.read_csv(os.path.join('src', 'main_df.csv'))
 
 
 
6
  llm_calc_app = gr.Blocks()
7
  with llm_calc_app:
8
 
9
- leaderboard_table = gr.Dataframe(
10
- value=text_leaderboard,
11
- elem_id="text-leaderboard-table",
12
- interactive=False,
13
- visible=True,
14
- height=800
15
- )
16
- llm_calc_app.load()
 
 
 
17
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  llm_calc_app.queue()
19
  llm_calc_app.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  import pandas as pd
2
  import gradio as gr
3
  import os
4
+ from gradio_rangeslider import RangeSlider
5
 
6
  text_leaderboard = pd.read_csv(os.path.join('src', 'main_df.csv'))
7
+ text = "## The range is: {min} to {max}"
8
+
9
+
10
  llm_calc_app = gr.Blocks()
11
  with llm_calc_app:
12
 
13
+ with gr.Row():
14
+ """
15
+ Main Filters Row
16
+ """
17
+
18
+ range_slider = RangeSlider(minimum=0, maximum=100, value=(0, 100))
19
+ range_ = gr.Markdown(value=text.format(min=0, max=100))
20
+ range_slider.change(lambda s: text.format(min=s[0], max=s[1]), range_slider, range_,
21
+ show_progress="hide", trigger_mode="always_last")
22
+
23
+
24
 
25
+ with gr.Row():
26
+ """
27
+ Main Leaderboard Row
28
+ """
29
+
30
+ leaderboard_table = gr.Dataframe(
31
+ value=text_leaderboard,
32
+ elem_id="text-leaderboard-table",
33
+ interactive=False,
34
+ visible=True,
35
+ height=800
36
+ )
37
+
38
+
39
+ llm_calc_app.load()
40
  llm_calc_app.queue()
41
  llm_calc_app.launch()
42
+
43
+
44
+
45
+ """
46
+ model_name, input_price, output_price,
47
+ multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,
48
+ source,licence_name,licence_url,languages,release_date,
49
+ parameters_estimated,parameters_actual,
50
+
51
+ open_weight,context,
52
+
53
+ additional_prices_context_caching,
54
+ additional_prices_context_storage,
55
+ additional_prices_image_input,additional_prices_image_output,additional_prices_video_input,additional_prices_video_output,additional_prices_audio_input,additional_prices_audio_output,clemscore_v1.6.5_multimodal,clemscore_v1.6.5_ascii,clemscore_v1.6,latency_v1.6,latency_v1.6.5_multimodal,latency_v1.6.5_ascii,
56
+
57
+ average_clemscore,average_latency,parameters
58
+
59
+ Final list
60
+
61
+ model_name, input_price, output_price,
62
+ multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,
63
+ source,licence_name,licence_url,languages,release_date, open_weight,context, average_clemscore,average_latency,parameters
64
+
65
+
66
+ Filter
67
+ multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,
68
+ licence_name+licence_url, languages, release_date, open_weight
69
+
70
+ RR
71
+ model_name, input_price, output_price,
72
+ source, release_date
73
+
74
+ """
requirements.txt CHANGED
@@ -1,3 +1,3 @@
1
  beautifulsoup4==4.12.3
2
  pandas==2.2.3
3
- pyppeteer==2.0.0
 
1
  beautifulsoup4==4.12.3
2
  pandas==2.2.3
3
+ gradio_rangeslider==0.0.7
src/combined_data.json CHANGED
@@ -1,281 +1,305 @@
1
  [
2
  {
3
  "model_name": "Meta-Llama-3-70B-Instruct-hf",
4
- "input_price": "0",
5
- "output_price": "0",
 
 
 
6
  "multimodality": {
7
  "image": false,
8
  "multiple_image": false,
9
  "audio": false,
10
  "video": false
11
  },
12
- "source": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct",
13
- "licence": {
14
  "name": "Meta Llama 3 License",
15
  "url": "https://www.llama.com/llama3/license/"
16
  },
17
- "languages": ["eng"],
18
  "release_date": "2024-04-18",
19
  "parameters":{
20
  "estimated": false,
21
- "actual": "70B"
22
  },
23
  "open_weight": true,
24
- "context": "8k"
25
  },
26
  {
27
  "model_name": "Meta-Llama-3-8B-Instruct-hf",
28
- "input_price": "0",
29
- "output_price": "0",
 
 
 
30
  "multimodality": {
31
  "image": false,
32
  "multiple_image": false,
33
  "audio": false,
34
  "video": false
35
  },
36
- "source": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct",
37
- "licence": {
38
  "name": "Meta Llama 3 License",
39
  "url": "https://www.llama.com/llama3/license/"
40
  },
41
- "languages": ["eng"],
42
  "release_date": "2024-04-18",
43
  "parameters":{
44
  "estimated": false,
45
- "actual": "8B"
46
  },
47
  "open_weight": true,
48
- "context": "8k"
49
  },
50
  {
51
  "model_name": "Meta-Llama-3.1-405B-Instruct-Turbo",
52
- "input_price": "0",
53
- "output_price": "0",
 
 
 
54
  "multimodality": {
55
  "image": false,
56
  "multiple_image": false,
57
  "audio": false,
58
  "video": false
59
  },
60
- "source": "https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct",
61
- "licence": {
62
  "name": "Llama 3.1 Community License",
63
  "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
64
  },
65
- "languages": ["eng", "deu", "fra", "ita", "hin", "por", "spa", "tha"],
66
  "release_date": "2024-07-23",
67
  "parameters":{
68
  "estimated": false,
69
- "actual": "405B"
70
  },
71
  "open_weight": true,
72
- "context": "128k"
73
  },
74
  {
75
  "model_name": "Meta-Llama-3.1-70B-Instruct",
76
- "input_price": "0",
77
- "output_price": "0",
 
 
 
78
  "multimodality": {
79
  "image": false,
80
  "multiple_image": false,
81
  "audio": false,
82
  "video": false
83
  },
84
- "source": "https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct",
85
- "licence": {
86
  "name": "Llama 3.1 Community License",
87
  "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
88
  },
89
- "languages": ["eng", "deu", "fra", "ita", "hin", "por", "spa", "tha"],
90
  "release_date": "2024-07-23",
91
  "parameters": {
92
  "estimated": false,
93
- "actual": "70B"
94
  },
95
  "open_weight": true,
96
- "context": "128k"
97
  },
98
  {
99
  "model_name": "Meta-Llama-3.1-8B-Instruct",
100
- "input_price": "0",
101
- "output_price": "0",
 
 
 
102
  "multimodality": {
103
  "image": false,
104
  "multiple_image": false,
105
  "audio": false,
106
  "video": false
107
  },
108
- "source": "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct",
109
- "licence": {
110
  "name": "Llama 3.1 Community License",
111
  "url": "https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE"
112
  },
113
- "languages": ["eng", "deu", "fra", "ita", "hin", "por", "spa", "tha"],
114
  "release_date": "2024-07-23",
115
  "parameters": {
116
  "estimated": false,
117
- "actual": "8B"
118
  },
119
  "open_weight": true,
120
- "context": "128k"
121
  },
122
  {
123
  "model_name": "InternVL2-40B",
124
- "input_price": "0",
125
- "output_price": "0",
 
 
 
126
  "multimodality": {
127
  "image": true,
128
  "multiple_image": true,
129
  "audio": false,
130
  "video": false
131
  },
132
- "source": "https://huggingface.co/OpenGVLab/InternVL2-40B",
133
- "licence": {
134
  "name": "MIT",
135
  "url": "https://choosealicense.com/licenses/mit/"
136
  },
137
- "languages": ["chi","eng","fre","spa","por","deu","ita","rus","jpn","kor","vie","tha","ara"],
138
  "release_date": "2024-07-15",
139
  "parameters": {
140
  "estimated": false,
141
- "actual": "40B"
142
  },
143
  "open_weight": true,
144
- "context": "8k"
145
  },
146
  {
147
  "model_name": "InternVL2-8B",
148
- "input_price": "0",
149
- "output_price": "0",
 
 
 
150
  "multimodality": {
151
  "image": true,
152
  "multiple_image": true,
153
  "audio": false,
154
  "video": false
155
  },
156
- "source": "https://huggingface.co/OpenGVLab/InternVL2-8B",
157
- "licence": {
158
  "name": "MIT",
159
  "url": "https://choosealicense.com/licenses/mit/"
160
  },
161
- "languages": ["chi","eng","fre","spa","por","deu","ita","rus","jpn","kor","vie","tha","ara"],
162
  "release_date": "2024-07-15",
163
  "parameters": {
164
  "estimated": false,
165
- "actual": "8B"
166
  },
167
  "open_weight": true,
168
- "context": "8k"
169
  },
170
  {
171
  "model_name": "InternVL2-Llama3-76B",
172
- "input_price": "0",
173
- "output_price": "0",
 
 
 
174
  "multimodality": {
175
  "image": true,
176
  "multiple_image": true,
177
  "audio": false,
178
  "video": false
179
  },
180
- "source": "https://huggingface.co/OpenGVLab/InternVL2-Llama3-76B",
181
- "licence": {
182
  "name": "MIT",
183
  "url": "https://choosealicense.com/licenses/mit/"
184
  },
185
- "languages": ["chi","eng","fre","spa","por","deu","ita","rus","jpn","kor","vie","tha","ara"],
186
  "release_date": "2024-07-15",
187
  "parameters": {
188
  "estimated": false,
189
- "actual": "76B"
190
  },
191
  "open_weight": true,
192
- "context": "8k"
193
  },
194
  {
195
  "model_name": "InternVL2-26B",
196
- "input_price": "0",
197
- "output_price": "0",
 
 
 
198
  "multimodality": {
199
  "image": true,
200
  "multiple_image": true,
201
  "audio": false,
202
  "video": false
203
  },
204
- "source": "https://huggingface.co/OpenGVLab/InternVL2-26B",
205
- "licence": {
206
  "name": "MIT",
207
  "url": "https://choosealicense.com/licenses/mit/"
208
  },
209
- "languages": ["chi","eng","fre","spa","por","deu","ita","rus","jpn","kor","vie","tha","ara"],
210
  "release_date": "2024-07-15",
211
  "parameters": {
212
  "estimated": false,
213
- "actual": "26B"
214
  },
215
  "open_weight": true,
216
- "context": "8k"
217
  },
218
 
219
  {
220
  "model_name": "InternVL2-26B",
221
- "input_price": "0",
222
- "output_price": "0",
 
 
 
223
  "multimodality": {
224
  "image": true,
225
  "multiple_image": true,
226
  "audio": false,
227
  "video": false
228
  },
229
- "source": "https://huggingface.co/OpenGVLab/InternVL2-26B",
230
- "licence": {
231
  "name": "MIT",
232
  "url": "https://choosealicense.com/licenses/mit/"
233
  },
234
- "languages": ["chi","eng","fre","spa","por","deu","ita","rus","jpn","kor","vie","tha","ara"],
235
  "release_date": "2024-07-15",
236
  "parameters": {
237
  "estimated": false,
238
- "actual": "26B"
239
  },
240
  "open_weight": true,
241
- "context": "8k"
242
  },
243
  {
244
  "model_name": "Mistral-Large-Instruct-2407",
245
- "input_price": "0",
246
- "output_price": "0",
 
 
 
247
  "multimodality": {
248
  "image": false,
249
  "multiple_image": false,
250
  "audio": false,
251
  "video": false
252
  },
253
- "source": "https://huggingface.co/mistralai/Mistral-Large-Instruct-2407",
254
- "licence": {
255
  "name": "Apache 2.0",
256
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
257
  },
258
- "languages": ["eng", "fra", "spa", "deu", "ita", "rus", "chi", "jpn", "kor"],
259
  "release_date": "2024-06-12",
260
  "parameters": {
261
  "estimated": false,
262
- "actual": "70B"
263
  },
264
  "open_weight": true,
265
- "context": "8k"
266
  },
267
  {
268
  "model_name": "Mixtral-8x22B-Instruct-v0.1",
269
- "input_price": "0",
270
- "output_price": "0",
 
 
 
271
  "multimodality": {
272
  "image": false,
273
  "multiple_image": false,
274
  "audio": false,
275
  "video": false
276
  },
277
- "source": "https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1",
278
- "licence": {
279
  "name": "Apache 2.0",
280
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
281
  },
@@ -283,283 +307,305 @@
283
  "release_date": "2024-04-17",
284
  "parameters": {
285
  "estimated": false,
286
- "actual": "141B"
287
  },
288
  "open_weight": true,
289
- "context": "8k"
290
  },
291
  {
292
  "model_name": "Mistral-7B-Instruct-v0.2",
293
- "input_price": "0",
294
- "output_price": "0",
 
 
 
295
  "multimodality": {
296
  "image": false,
297
  "multiple_image": false,
298
  "audio": false,
299
  "video": false
300
  },
301
- "source": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2",
302
- "licence": {
303
  "name": "Apache 2.0",
304
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
305
  },
306
- "languages": ["eng", "fra", "spa", "deu", "ita", "rus", "chi"],
307
  "release_date": "2024-01-15",
308
  "parameters": {
309
  "estimated": false,
310
- "actual": "7B"
311
  },
312
  "open_weight": true,
313
- "context": "8k"
314
  },
315
  {
316
  "model_name": "Mistral-7B-Instruct-v0.1",
317
- "input_price": "0",
318
- "output_price": "0",
 
 
 
319
  "multimodality": {
320
  "image": false,
321
  "multiple_image": false,
322
  "audio": false,
323
  "video": false
324
  },
325
- "source": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1",
326
- "licence": {
327
  "name": "Apache 2.0",
328
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
329
  },
330
- "languages": ["eng", "fra", "spa", "deu", "ita", "rus", "chi"],
331
  "release_date": "2023-12-11",
332
  "parameters": {
333
  "estimated": false,
334
- "actual": "7B"
335
  },
336
  "open_weight": true,
337
- "context": "8k"
338
  },
339
  {
340
  "model_name": "Mixtral-8x7B-Instruct-v0.1",
341
- "input_price": "0",
342
- "output_price": "0",
 
 
 
343
  "multimodality": {
344
  "image": false,
345
  "multiple_image": false,
346
  "audio": false,
347
  "video": false
348
  },
349
- "source": "https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1",
350
- "licence": {
351
  "name": "Apache 2.0",
352
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
353
  },
354
- "languages": ["eng", "fra", "spa", "deu", "ita", "rus"],
355
  "release_date": "2023-12-11",
356
  "parameters": {
357
  "estimated": false,
358
- "actual": "46.7B"
359
  },
360
  "open_weight": true,
361
- "context": "8k"
362
  },
363
  {
364
  "model_name": "openchat-3.5-0106",
365
- "input_price": "0",
366
- "output_price": "0",
 
 
 
367
  "multimodality": {
368
  "image": false,
369
  "multiple_image": false,
370
  "audio": false,
371
  "video": false
372
  },
373
- "source": "https://huggingface.co/openchat/openchat-3.5-0106",
374
- "licence": {
375
  "name": "Apache 2.0",
376
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
377
  },
378
- "languages": ["eng"],
379
  "release_date": "2024-01-06",
380
  "parameters": {
381
  "estimated": false,
382
- "actual": "7B"
383
  },
384
  "open_weight": true,
385
- "context": "8k"
386
  },
387
  {
388
  "model_name": "openchat-3.5-1210",
389
- "input_price": "0",
390
- "output_price": "0",
 
 
 
391
  "multimodality": {
392
  "image": false,
393
  "multiple_image": false,
394
  "audio": false,
395
  "video": false
396
  },
397
- "source": "https://huggingface.co/openchat/openchat-3.5-1210",
398
- "licence": {
399
  "name": "Apache 2.0",
400
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
401
  },
402
- "languages": ["eng"],
403
  "release_date": "2023-12-10",
404
  "parameters": {
405
  "estimated": false,
406
- "actual": "7B"
407
  },
408
  "open_weight": true,
409
- "context": "8k"
410
  },
411
  {
412
  "model_name": "openchat_3.5",
413
- "input_price": "0",
414
- "output_price": "0",
 
 
 
415
  "multimodality": {
416
  "image": false,
417
  "multiple_image": false,
418
  "audio": false,
419
  "video": false
420
  },
421
- "source": "https://huggingface.co/openchat/openchat_3.5",
422
- "licence": {
423
  "name": "Apache 2.0",
424
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
425
  },
426
- "languages": ["eng"],
427
  "release_date": "2023-10-30",
428
  "parameters": {
429
  "estimated": false,
430
- "actual": "7B"
431
  },
432
  "open_weight": true,
433
- "context": "8k"
434
  },
435
  {
436
  "model_name": "gpt-4o-mini-2024-07-18",
437
- "input_price": "$0.150",
438
- "output_price": "$0.600",
 
 
 
439
  "multimodality": {
440
  "image": true,
441
  "multiple_image": true,
442
  "audio": false,
443
  "video": false
444
  },
445
- "source": "https://openai.com/api/pricing/",
446
- "licence": {
447
  "name": "Commercial License",
448
  "url": "https://openai.com/policies/terms-of-use"
449
  },
450
- "languages": ["eng", "spa", "fra", "deu", "zho", "zht", "jpn", "kor", "ita", "por", "nld", "rus", "ara", "hin", "tur", "vie", "pol", "tha", "swe", "dan", "nor", "fin", "hun", "ces", "slk", "rom", "bul", "ukr", "lit", "lav", "est", "slv", "msa", "ind", "fil", "swz", "amh"],
451
  "release_date": "2024-07-18",
452
  "parameters": {
453
  "estimated": true,
454
- "actual": "8B"
455
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456
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446
  "model_name": "openchat_3.5",
447
+ "pricing": {
448
+ "input_price": "0$",
449
+ "output_price": "0$",
450
+ "source": "https://huggingface.co/openchat/openchat_3.5"
451
+ },
452
  "multimodality": {
453
  "image": false,
454
  "multiple_image": false,
455
  "audio": false,
456
  "video": false
457
  },
458
+ "license": {
 
459
  "name": "Apache 2.0",
460
  "url": "https://www.apache.org/licenses/LICENSE-2.0"
461
  },
462
+ "languages": ["en"],
463
  "release_date": "2023-10-30",
464
  "parameters": {
465
  "estimated": false,
466
+ "size": "7B"
467
  },
468
  "open_weight": true,
469
+ "context_size": "8k"
470
  },
471
  {
472
  "model_name": "gpt-4o-mini-2024-07-18",
473
+ "pricing": {
474
+ "input_price": "$0.150",
475
+ "output_price": "$0.600",
476
+ "source": "https://openai.com/api/pricing/"
477
+ },
478
  "multimodality": {
479
  "image": true,
480
  "multiple_image": true,
481
  "audio": false,
482
  "video": false
483
  },
484
+ "license": {
 
485
  "name": "Commercial License",
486
  "url": "https://openai.com/policies/terms-of-use"
487
  },
488
+ "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
489
  "release_date": "2024-07-18",
490
  "parameters": {
491
  "estimated": true,
492
+ "size": "8B"
493
  },
494
  "open_weight": false,
495
+ "context_size": "128k"
496
  },
497
  {
498
  "model_name": "gpt-4o-2024-08-06",
499
+ "pricing": {
500
+ "input_price": "$2.50",
501
+ "output_price": "$10.00",
502
+ "source": "https://openai.com/api/pricing/"
503
+ },
504
  "multimodality": {
505
  "image": true,
506
  "multiple_image": true,
507
  "audio": false,
508
  "video": false
509
  },
510
+ "license": {
 
511
  "name": "Commercial License",
512
  "url": "https://openai.com/policies/terms-of-use"
513
  },
514
+ "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
515
  "release_date": "2024-08-06",
516
  "parameters": {
517
  "estimated": true,
518
+ "size": "200B"
519
  },
520
  "open_weight": false,
521
+ "context_size": "128k"
522
  },
523
  {
524
  "model_name": "gpt-4o-2024-05-13",
525
+ "pricing":{
526
+ "input_price": "$2.50",
527
+ "output_price": "$10.00",
528
+ "source": "https://openai.com/api/pricing/"
529
+ },
530
  "multimodality": {
531
  "image": true,
532
  "multiple_image": true,
533
  "audio": false,
534
  "video": false
535
  },
536
+ "license": {
 
537
  "name": "Commercial License",
538
  "url": "https://openai.com/policies/terms-of-use"
539
  },
540
+ "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
541
  "release_date": "2024-05-13",
542
  "parameters": {
543
  "estimated": true,
544
+ "size": "200B"
545
  },
546
  "open_weight": false,
547
+ "context_size": "128k"
548
  },
549
  {
550
  "model_name": "gpt-4-1106-vision-preview",
551
+ "pricing": {
552
+ "input_price": "$10.00",
553
+ "output_price": "$30.00",
554
+ "source": "https://openai.com/api/pricing/"
555
+ },
556
  "multimodality": {
557
  "image": true,
558
  "multiple_image": true,
559
  "audio": false,
560
  "video": false
561
  },
562
+ "license": {
 
563
  "name": "Commercial License",
564
  "url": "https://openai.com/policies/terms-of-use"
565
  },
566
+ "languages": ["en", "es", "fr", "de", "zh", "ja", "ko", "it", "pt", "nl", "ru", "ar", "hi", "tr", "vi", "pl", "th", "sv", "da", "no", "fi", "hu", "cs", "sk", "ro", "bg", "uk", "lt", "lv", "et", "sl", "ms", "id", "tl", "sw", "am"],
567
  "release_date": "2023-11-06",
568
  "parameters": {
569
+ "estimated": true,
570
+ "size": "1760B"
571
  },
572
  "open_weight": false,
573
+ "context_size": "128k"
574
  },
575
  {
576
  "model_name": "gemini-1.5-flash-latest",
577
+ "pricing":{
578
+ "input_price": "$0.075",
579
+ "output_price": "$0.30",
580
+ "additional_prices": {
581
+ "context_caching": "$0.01875",
582
+ "context_storage": "$1.00",
583
+ "image_input": "$0.02",
584
+ "image_output": "$0.04",
585
+ "video_input": "$0.02",
586
+ "video_output": "$0.04",
587
+ "audio_input": "$0.02",
588
+ "audio_output": "$0.04"
589
+ },
590
+ "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing"
591
+ },
592
  "multimodality": {
593
  "image": true,
594
  "multiple_image": true,
595
  "audio": true,
596
  "video": true
597
+ },
598
+ "license": {
 
599
  "name": "Commercial License",
600
  "url": ""
601
  },
602
+ "languages": ["lt", "no", "pl", "pt", "ro", "ru", "sr", "sk", "sl", "es", "sw", "sv", "th", "tr", "uk", "vi", "zh", "hr", "cs", "da", "nl", "en", "et", "fi", "fr", "de", "el", "he", "hi", "hu", "id", "it", "ja", "ko", "lv", "ar", "bn", "bg"],
603
  "release_date": "2024-05-24",
604
  "parameters": {
605
+ "estimated": true,
606
+ "size": "1760B"
607
  },
608
  "open_weight": false,
609
+ "context_size": "128k"
610
  }
611
  ]
src/main_df.csv CHANGED
@@ -1,24 +1,24 @@
1
- model_name,input_price,output_price,multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,source,licence_name,licence_url,languages,release_date,parameters_estimated,parameters_actual,open_weight,context,additional_prices_context_caching,additional_prices_context_storage,additional_prices_image_input,additional_prices_image_output,additional_prices_video_input,additional_prices_video_output,additional_prices_audio_input,additional_prices_audio_output,clemscore_v1.6.5_multimodal,clemscore_v1.6.5_ascii,clemscore_v1.6
2
- Meta-Llama-3-70B-Instruct-hf,0,0,False,False,False,False,https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct,Meta Llama 3 License,https://www.llama.com/llama3/license/,eng,2024-04-18,False,70B,True,8k,,,,,,,,,0.0,0.0,35.11
3
- Meta-Llama-3-8B-Instruct-hf,0,0,False,False,False,False,https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct,Meta Llama 3 License,https://www.llama.com/llama3/license/,eng,2024-04-18,False,8B,True,8k,,,,,,,,,0.0,0.0,19.99
4
- Meta-Llama-3.1-405B-Instruct-Turbo,0,0,False,False,False,False,https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct,Llama 3.1 Community License,https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE,"eng, deu, fra, ita, hin, por, spa, tha",2024-07-23,False,405B,True,128k,,,,,,,,,0.0,0.0,52.11
5
- Meta-Llama-3.1-70B-Instruct,0,0,False,False,False,False,https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct,Llama 3.1 Community License,https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE,"eng, deu, fra, ita, hin, por, spa, tha",2024-07-23,False,70B,True,128k,,,,,,,,,0.0,0.0,38.83
6
- Meta-Llama-3.1-8B-Instruct,0,0,False,False,False,False,https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct,Llama 3.1 Community License,https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE,"eng, deu, fra, ita, hin, por, spa, tha",2024-07-23,False,8B,True,128k,,,,,,,,,0.0,0.0,18.36
7
- InternVL2-40B,0,0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-40B,MIT,https://choosealicense.com/licenses/mit/,"chi, eng, fre, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara",2024-07-15,False,40B,True,8k,,,,,,,,,32.23,33.2,0.0
8
- InternVL2-8B,0,0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-8B,MIT,https://choosealicense.com/licenses/mit/,"chi, eng, fre, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara",2024-07-15,False,8B,True,8k,,,,,,,,,23.17,36.05,0.0
9
- InternVL2-Llama3-76B,0,0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-Llama3-76B,MIT,https://choosealicense.com/licenses/mit/,"chi, eng, fre, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara",2024-07-15,False,76B,True,8k,,,,,,,,,33.84,43.29,0.0
10
- InternVL2-26B,0,0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-26B,MIT,https://choosealicense.com/licenses/mit/,"chi, eng, fre, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara",2024-07-15,False,26B,True,8k,,,,,,,,,37.45,32.27,0.0
11
- InternVL2-26B,0,0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-26B,MIT,https://choosealicense.com/licenses/mit/,"chi, eng, fre, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara",2024-07-15,False,26B,True,8k,,,,,,,,,37.45,32.27,0.0
12
- Mistral-Large-Instruct-2407,0,0,False,False,False,False,https://huggingface.co/mistralai/Mistral-Large-Instruct-2407,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"eng, fra, spa, deu, ita, rus, chi, jpn, kor",2024-06-12,False,70B,True,8k,,,,,,,,,0.0,0.0,45.39
13
- Mixtral-8x22B-Instruct-v0.1,0,0,False,False,False,False,https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"eng, fra, spa, deu, ita, rus",2024-04-17,False,141B,True,8k,,,,,,,,,0.0,0.0,12.69
14
- Mistral-7B-Instruct-v0.2,0,0,False,False,False,False,https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"eng, fra, spa, deu, ita, rus, chi",2024-01-15,False,7B,True,8k,,,,,,,,,0.0,0.0,9.75
15
- Mistral-7B-Instruct-v0.1,0,0,False,False,False,False,https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"eng, fra, spa, deu, ita, rus, chi",2023-12-11,False,7B,True,8k,,,,,,,,,0.0,0.0,8.01
16
- Mixtral-8x7B-Instruct-v0.1,0,0,False,False,False,False,https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"eng, fra, spa, deu, ita, rus",2023-12-11,False,46.7B,True,8k,,,,,,,,,0.0,0.0,8.17
17
- openchat-3.5-0106,0,0,False,False,False,False,https://huggingface.co/openchat/openchat-3.5-0106,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,eng,2024-01-06,False,7B,True,8k,,,,,,,,,0.0,0.0,17.1
18
- openchat-3.5-1210,0,0,False,False,False,False,https://huggingface.co/openchat/openchat-3.5-1210,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,eng,2023-12-10,False,7B,True,8k,,,,,,,,,0.0,0.0,18.22
19
- openchat_3.5,0,0,False,False,False,False,https://huggingface.co/openchat/openchat_3.5,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,eng,2023-10-30,False,7B,True,8k,,,,,,,,,0.0,0.0,23.64
20
- gpt-4o-mini-2024-07-18,$0.150,$0.600,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"eng, spa, fra, deu, zho, zht, jpn, kor, ita, por, nld, rus, ara, hin, tur, vie, pol, tha, swe, dan, nor, fin, hun, ces, slk, rom, bul, ukr, lit, lav, est, slv, msa, ind, fil, swz, amh",2024-07-18,True,8B,False,128k,,,,,,,,,58.46,63.87,34.64
21
- gpt-4o-2024-08-06,$2.50,$10.00,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"eng, spa, fra, deu, zho, zht, jpn, kor, ita, por, nld, rus, ara, hin, tur, vie, pol, tha, swe, dan, nor, fin, hun, ces, slk, rom, bul, ukr, lit, lav, est, slv, msa, ind, fil, swz, amh",2024-08-06,True,200B,False,128k,,,,,,,,,80.04,80.96,47.71
22
- gpt-4o-2024-05-13,$2.50,$10.00,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"eng, spa, fra, deu, zho, zht, jpn, kor, ita, por, nld, rus, ara, hin, tur, vie, pol, tha, swe, dan, nor, fin, hun, ces, slk, rom, bul, ukr, lit, lav, est, slv, msa, ind, fil, swz, amh",2024-05-13,True,200B,False,128k,,,,,,,,,69.56,82.72,48.34
23
- gpt-4-1106-vision-preview,$10.00,$30.00,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"eng, spa, fra, deu, zho, zht, jpn, kor, ita, por, nld, rus, ara, hin, tur, vie, pol, tha, swe, dan, nor, fin, hun, ces, slk, rom, bul, ukr, lit, lav, est, slv, msa, ind, fil, swz, amh",2023-11-06,1.76T,False,False,128k,,,,,,,,,73.55,68.14,0.0
24
- gemini-1.5-flash-latest,$0.075,$0.30,True,True,True,True,https://cloud.google.com/vertex-ai/generative-ai/pricing,Commercial License,,"lit, nor, pol, por, ron, rus, srp, slk, slv, spa, swa, swe, tha, tur, ukr, vie, zho, hrv, ces, dan, nld, eng, est, fin, fra, deu, ell, heb, hin, hun, ind, ita, jpn, kor, lav, ara, ben, bul",2024-05-24,False,False,False,>128k,$0.01875,$1.00,$0.02,$0.04,$0.02,$0.04,$0.02,$0.04,47.73,47.88,32.0
 
1
+ model_name,input_price,output_price,multimodality_image,multimodality_multiple_image,multimodality_audio,multimodality_video,source,license_name,license_url,languages,release_date,open_weight,context_size,average_clemscore,average_latency,parameter_size,estimated
2
+ Meta-Llama-3-70B-Instruct-hf,0.0,0.0,False,False,False,False,https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct,Meta Llama 3 License,https://www.llama.com/llama3/license/,en,2024-04-18,True,8,11.703333333333333,1.1160853862207483,70.0,False
3
+ Meta-Llama-3-8B-Instruct-hf,0.0,0.0,False,False,False,False,https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct,Meta Llama 3 License,https://www.llama.com/llama3/license/,en,2024-04-18,True,8,6.663333333333333,0.7054825144189354,8.0,False
4
+ Meta-Llama-3.1-405B-Instruct-Turbo,0.0,0.0,False,False,False,False,https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct,Llama 3.1 Community License,https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE,"en, de, fr, it, hi, pt, es, th",2024-07-23,True,128,17.37,0.2628701315515277,405.0,False
5
+ Meta-Llama-3.1-70B-Instruct,0.0,0.0,False,False,False,False,https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct,Llama 3.1 Community License,https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE,"en, de, fr, it, hi, pt, es, th",2024-07-23,True,128,12.943333333333333,0.27016850919817575,70.0,False
6
+ Meta-Llama-3.1-8B-Instruct,0.0,0.0,False,False,False,False,https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct,Llama 3.1 Community License,https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE,"en, de, fr, it, hi, pt, es, th",2024-07-23,True,128,6.12,0.06876858280202812,8.0,False
7
+ InternVL2-40B,0.0,0.0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-40B,MIT,https://choosealicense.com/licenses/mit/,"zh, en, fr, es, pt, de, it, ru, ja, ko, vi, th, ar",2024-07-15,True,8,21.810000000000002,2.609271782765464,40.0,False
8
+ InternVL2-8B,0.0,0.0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-8B,MIT,https://choosealicense.com/licenses/mit/,"zh, en, fr, es, pt, de, it, ru, ja, ko, vi, th, ar",2024-07-15,True,8,19.74,0.8367998047485775,8.0,False
9
+ InternVL2-Llama3-76B,0.0,0.0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-Llama3-76B,MIT,https://choosealicense.com/licenses/mit/,"zh, en, fr, es, pt, de, it, ru, ja, ko, vi, th, ar",2024-07-15,True,8,25.709999999999997,4.591395944741546,76.0,False
10
+ InternVL2-26B,0.0,0.0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-26B,MIT,https://choosealicense.com/licenses/mit/,"zh, en, fr, es, pt, de, it, ru, ja, ko, vi, th, ar",2024-07-15,True,8,23.24,1.7593004986949285,26.0,False
11
+ InternVL2-26B,0.0,0.0,True,True,False,False,https://huggingface.co/OpenGVLab/InternVL2-26B,MIT,https://choosealicense.com/licenses/mit/,"zh, en, fr, es, pt, de, it, ru, ja, ko, vi, th, ar",2024-07-15,True,8,23.24,1.7593004986949285,26.0,False
12
+ Mistral-Large-Instruct-2407,0.0,0.0,False,False,False,False,https://huggingface.co/mistralai/Mistral-Large-Instruct-2407,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"en, fr, es, de, it, ru, zh, ja, ko",2024-06-12,True,8,15.13,0.41482225628780656,70.0,False
13
+ Mixtral-8x22B-Instruct-v0.1,0.0,0.0,False,False,False,False,https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"eng, fra, spa, deu, ita, rus",2024-04-17,True,8,4.2299999999999995,0.3586451521191292,141.0,False
14
+ Mistral-7B-Instruct-v0.2,0.0,0.0,False,False,False,False,https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"en, fr, es, de, it, ru, zh",2024-01-15,True,8,3.25,0.25450503989030154,7.0,False
15
+ Mistral-7B-Instruct-v0.1,0.0,0.0,False,False,False,False,https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"en, fr, es, de, it, ru, zh",2023-12-11,True,8,2.67,0.09428825169239076,7.0,False
16
+ Mixtral-8x7B-Instruct-v0.1,0.0,0.0,False,False,False,False,https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,"en, fr, es, de, it, ru",2023-12-11,True,8,2.723333333333333,0.31309892202121054,46.7,False
17
+ openchat-3.5-0106,0.0,0.0,False,False,False,False,https://huggingface.co/openchat/openchat-3.5-0106,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,en,2024-01-06,True,8,5.7,0.09736504835188847,7.0,False
18
+ openchat-3.5-1210,0.0,0.0,False,False,False,False,https://huggingface.co/openchat/openchat-3.5-1210,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,en,2023-12-10,True,8,6.073333333333333,0.09349942563676568,7.0,False
19
+ openchat_3.5,0.0,0.0,False,False,False,False,https://huggingface.co/openchat/openchat_3.5,Apache 2.0,https://www.apache.org/licenses/LICENSE-2.0,en,2023-10-30,True,8,7.88,0.10576256228206875,7.0,False
20
+ gpt-4o-mini-2024-07-18,0.15,0.6,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"en, es, fr, de, zh, ja, ko, it, pt, nl, ru, ar, hi, tr, vi, pl, th, sv, da, no, fi, hu, cs, sk, ro, bg, uk, lt, lv, et, sl, ms, id, tl, sw, am",2024-07-18,False,128,52.32333333333333,1.619222935116773,8.0,True
21
+ gpt-4o-2024-08-06,2.5,10.0,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"en, es, fr, de, zh, ja, ko, it, pt, nl, ru, ar, hi, tr, vi, pl, th, sv, da, no, fi, hu, cs, sk, ro, bg, uk, lt, lv, et, sl, ms, id, tl, sw, am",2024-08-06,False,128,69.57000000000001,1.5771123003908176,200.0,True
22
+ gpt-4o-2024-05-13,2.5,10.0,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"en, es, fr, de, zh, ja, ko, it, pt, nl, ru, ar, hi, tr, vi, pl, th, sv, da, no, fi, hu, cs, sk, ro, bg, uk, lt, lv, et, sl, ms, id, tl, sw, am",2024-05-13,False,128,66.87333333333333,3.704921340164487,200.0,True
23
+ gpt-4-1106-vision-preview,10.0,30.0,True,True,False,False,https://openai.com/api/pricing/,Commercial License,https://openai.com/policies/terms-of-use,"en, es, fr, de, zh, ja, ko, it, pt, nl, ru, ar, hi, tr, vi, pl, th, sv, da, no, fi, hu, cs, sk, ro, bg, uk, lt, lv, et, sl, ms, id, tl, sw, am",2023-11-06,False,128,47.23,2.217200177676117,1760.0,True
24
+ gemini-1.5-flash-latest,0.075,0.3,True,True,True,True,https://cloud.google.com/vertex-ai/generative-ai/pricing,Commercial License,,"lt, no, pl, pt, ro, ru, sr, sk, sl, es, sw, sv, th, tr, uk, vi, zh, hr, cs, da, nl, en, et, fi, fr, de, el, he, hi, hu, id, it, ja, ko, lv, ar, bn, bg",2024-05-24,False,128,42.53666666666667,26.268280234692302,1760.0,True
src/process_data.py CHANGED
@@ -11,30 +11,31 @@ flattened_data = []
11
  for entry in data:
12
  flattened_entry = {
13
  "model_name": entry["model_name"],
14
- "input_price": entry["input_price"],
15
- "output_price": entry["output_price"],
16
  "multimodality_image": entry["multimodality"]["image"],
17
  "multimodality_multiple_image": entry["multimodality"]["multiple_image"],
18
  "multimodality_audio": entry["multimodality"]["audio"],
19
  "multimodality_video": entry["multimodality"]["video"],
20
- "source": entry["source"],
21
- "licence_name": entry["licence"]["name"],
22
- "licence_url": entry["licence"]["url"],
23
  "languages": ", ".join(entry["languages"]),
24
  "release_date": entry["release_date"],
25
- "parameters_estimated": entry["parameters"]["estimated"],
26
- "parameters_actual": entry["parameters"]["actual"],
27
  "open_weight": entry["open_weight"],
28
- "context": entry["context"],
 
29
  # ... additional prices ...
30
- "additional_prices_context_caching": entry.get("additional_prices", {}).get("context_caching", None),
31
- "additional_prices_context_storage": entry.get("additional_prices", {}).get("context_storage", None),
32
- "additional_prices_image_input": entry.get("additional_prices", {}).get("image_input", None),
33
- "additional_prices_image_output": entry.get("additional_prices", {}).get("image_output", None),
34
- "additional_prices_video_input": entry.get("additional_prices", {}).get("video_input", None),
35
- "additional_prices_video_output": entry.get("additional_prices", {}).get("video_output", None),
36
- "additional_prices_audio_input": entry.get("additional_prices", {}).get("audio_input", None),
37
- "additional_prices_audio_output": entry.get("additional_prices", {}).get("audio_output", None),
38
  }
39
  flattened_data.append(flattened_entry)
40
 
@@ -57,12 +58,80 @@ clemscore_map_1_6_5_multimodal = dict(zip(results_1_6_5_multimodal[0], results_1
57
  clemscore_map_1_6_5_ascii = dict(zip(results_1_6_5_ascii[0], results_1_6_5_ascii[1]))
58
  clemscore_map_1_6 = dict(zip(results_1_6[0], results_1_6[1]))
59
 
60
- print(clemscore_map_1_6)
61
 
62
  # Add clemscore columns to the main DataFrame
63
  df['clemscore_v1.6.5_multimodal'] = df['model_name'].map(clemscore_map_1_6_5_multimodal).fillna(0).astype(float)
64
  df['clemscore_v1.6.5_ascii'] = df['model_name'].map(clemscore_map_1_6_5_ascii).fillna(0).astype(float)
65
  df['clemscore_v1.6'] = df['model_name'].map(clemscore_map_1_6).fillna(0).astype(float)
66
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
67
  # Save to CSV
68
  df.to_csv('src/main_df.csv', index=False)
 
11
  for entry in data:
12
  flattened_entry = {
13
  "model_name": entry["model_name"],
14
+ "input_price": entry["pricing"]["input_price"],
15
+ "output_price": entry["pricing"]["output_price"],
16
  "multimodality_image": entry["multimodality"]["image"],
17
  "multimodality_multiple_image": entry["multimodality"]["multiple_image"],
18
  "multimodality_audio": entry["multimodality"]["audio"],
19
  "multimodality_video": entry["multimodality"]["video"],
20
+ "source": entry["pricing"]["source"],
21
+ "license_name": entry["license"]["name"],
22
+ "license_url": entry["license"]["url"],
23
  "languages": ", ".join(entry["languages"]),
24
  "release_date": entry["release_date"],
25
+ "parameter_size": entry["parameters"]["size"],
26
+ "estimated": entry["parameters"]["estimated"],
27
  "open_weight": entry["open_weight"],
28
+ "context_size": entry["context_size"],
29
+
30
  # ... additional prices ...
31
+ "additional_prices_context_caching": entry["pricing"].get("additional_prices", {}).get("context_caching", None),
32
+ "additional_prices_context_storage": entry["pricing"].get("additional_prices", {}).get("context_storage", None),
33
+ "additional_prices_image_input": entry["pricing"].get("additional_prices", {}).get("image_input", None),
34
+ "additional_prices_image_output": entry["pricing"].get("additional_prices", {}).get("image_output", None),
35
+ "additional_prices_video_input": entry["pricing"].get("additional_prices", {}).get("video_input", None),
36
+ "additional_prices_video_output": entry["pricing"].get("additional_prices", {}).get("video_output", None),
37
+ "additional_prices_audio_input": entry["pricing"].get("additional_prices", {}).get("audio_input", None),
38
+ "additional_prices_audio_output": entry["pricing"].get("additional_prices", {}).get("audio_output", None),
39
  }
40
  flattened_data.append(flattened_entry)
41
 
 
58
  clemscore_map_1_6_5_ascii = dict(zip(results_1_6_5_ascii[0], results_1_6_5_ascii[1]))
59
  clemscore_map_1_6 = dict(zip(results_1_6[0], results_1_6[1]))
60
 
 
61
 
62
  # Add clemscore columns to the main DataFrame
63
  df['clemscore_v1.6.5_multimodal'] = df['model_name'].map(clemscore_map_1_6_5_multimodal).fillna(0).astype(float)
64
  df['clemscore_v1.6.5_ascii'] = df['model_name'].map(clemscore_map_1_6_5_ascii).fillna(0).astype(float)
65
  df['clemscore_v1.6'] = df['model_name'].map(clemscore_map_1_6).fillna(0).astype(float)
66
 
67
+ # Load the latency CSV files
68
+ latency_1_6 = pd.read_csv('src/v1.6_latency.csv', header=None)
69
+ latency_1_6_5_ascii = pd.read_csv('src/v1.6.5_ascii_latency.csv', header=None)
70
+ latency_1_6_5_multimodal = pd.read_csv('src/v1.6.5_multimodal_latency.csv', header=None)
71
+
72
+ # Create a mapping for latency values
73
+ latency_map_1_6 = dict(zip(latency_1_6[0], latency_1_6[1]))
74
+ latency_map_1_6_5_ascii = dict(zip(latency_1_6_5_ascii[0], latency_1_6_5_ascii[1]))
75
+ latency_map_1_6_5_multimodal = dict(zip(latency_1_6_5_multimodal[0], latency_1_6_5_multimodal[1]))
76
+
77
+ # Add latency columns to the main DataFrame
78
+ df['latency_v1.6'] = df['model_name'].map(latency_map_1_6).fillna(0).astype(float)
79
+ df['latency_v1.6.5_multimodal'] = df['model_name'].map(latency_map_1_6_5_multimodal).fillna(0).astype(float)
80
+ df['latency_v1.6.5_ascii'] = df['model_name'].map(latency_map_1_6_5_ascii).fillna(0).astype(float)
81
+
82
+
83
+ # Calculate average latency and clemscore
84
+ df['average_clemscore'] = df[['clemscore_v1.6.5_multimodal', 'clemscore_v1.6.5_ascii', 'clemscore_v1.6']].mean(axis=1)
85
+ df['average_latency'] = df[['latency_v1.6', 'latency_v1.6.5_multimodal', 'latency_v1.6.5_ascii']].mean(axis=1)
86
+
87
+
88
+ # More clean up
89
+ # Clean and convert prices to float
90
+ df['input_price'] = df['input_price'].replace({'\$': '', '': None}, regex=True).astype(float)
91
+ df['output_price'] = df['output_price'].replace({'\$': '', '': None}, regex=True).astype(float)
92
+
93
+ # Clean and convert additional prices to float
94
+ additional_price_columns = [
95
+ 'additional_prices_context_caching',
96
+ 'additional_prices_context_storage',
97
+ 'additional_prices_image_input',
98
+ 'additional_prices_image_output',
99
+ 'additional_prices_video_input',
100
+ 'additional_prices_video_output',
101
+ 'additional_prices_audio_input',
102
+ 'additional_prices_audio_output'
103
+ ]
104
+
105
+ for col in additional_price_columns:
106
+ df[col] = df[col].replace({'\$': '', '': None}, regex=True).astype(float)
107
+
108
+ # Clean and convert context to integer
109
+ df['context_size'] = df['context_size'].replace({'k': ''}, regex=True).astype(int)
110
+
111
+ df['parameter_size'] = df['parameter_size'].replace({'B': '', '': None}, regex=True).astype(float)
112
+
113
+ # Keep only the specified columns
114
+ df = df[[
115
+ 'model_name',
116
+ 'input_price',
117
+ 'output_price',
118
+ 'multimodality_image',
119
+ 'multimodality_multiple_image',
120
+ 'multimodality_audio',
121
+ 'multimodality_video',
122
+ 'source',
123
+ 'license_name',
124
+ 'license_url',
125
+ 'languages',
126
+ 'release_date',
127
+ 'open_weight',
128
+ 'context_size',
129
+ 'average_clemscore',
130
+ 'average_latency',
131
+ 'parameter_size',
132
+ 'estimated'
133
+ ]]
134
+
135
+
136
  # Save to CSV
137
  df.to_csv('src/main_df.csv', index=False)
src/v1.6.5_ascii_latency.csv ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,latency
2
+ InternVL2-Llama3-76B,3.114070534839201
3
+ InternVL2-26B,1.0386292812723366
4
+ gpt-4o-2024-05-13,1.0694715724240909
5
+ claude-3-5-sonnet-20240620,2.1419643781420827
6
+ idefics-9b-instruct,1.4799789114093953
7
+ claude-3-opus-20240229,2.6997723769014104
8
+ gpt-4o-mini-2024-07-18,0.6847286470238105
9
+ gpt-4-1106-vision-preview,1.9390430972762676
10
+ Phi-3.5-vision-instruct,0.9667233222621183
11
+ InternVL2-40B,1.5607129299048943
12
+ gpt-4o-2024-08-06,0.8286696862643078
13
+ idefics-80b-instruct,9.909203573061212
14
+ InternVL2-8B,0.5617990863945588
15
+ gemini-1.5-flash-latest,13.396903850443566
16
+ Idefics3-8B-Llama3,0.5553913162090334
17
+ Phi-3-vision-128k-instruct,1.1679793685649222
18
+ Pixtral-12B-2409,0.3775700848214281
19
+ internlm-xcomposer2d5-7b,6.095479326235735
src/v1.6.5_multimodal_latency.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,latency
2
+ InternVL2-Llama3-76B,10.660117299385437
3
+ InternVL2-26B,4.239272214812449
4
+ dolphin-vision-72b,10.19095800373974
5
+ gpt-4o-2024-05-13,9.488193374830397
6
+ claude-3-5-sonnet-20240620,3.2490840805235996
7
+ idefics-9b-instruct,4.156911970172689
8
+ claude-3-opus-20240229,4.8763568649807185
9
+ gpt-4o-mini-2024-07-18,3.638671743317612
10
+ gpt-4-1106-vision-preview,4.712557435752083
11
+ Phi-3.5-vision-instruct,1.5404880504707106
12
+ InternVL2-40B,6.267102418391499
13
+ gpt-4o-2024-08-06,3.3857084617187416
14
+ idefics-80b-instruct,6.808930391550246
15
+ InternVL2-8B,1.9486003278511734
16
+ gemini-1.5-flash-latest,28.203669643584554
17
+ Idefics3-8B-Llama3,2.7247848158020056
18
+ Phi-3-vision-128k-instruct,1.3368420310828857
19
+ Pixtral-12B-2409,1.4976731684122302
20
+ internlm-xcomposer2d5-7b,8.438096179522184
src/v1.6_latency.csv ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,latency
2
+ Phi-3-mini-128k-instruct,0.6615315832127351
3
+ Meta-Llama-3.1-70B-Instruct,0.8105055275945272
4
+ Meta-Llama-3.1-405B-Instruct-Turbo,0.7886103946545832
5
+ mistral-medium-2312,3.3167870515212137
6
+ gemma-2-2b-it,0.3139821517919896
7
+ Meta-Llama-3-8B-Instruct-hf,2.116447543256806
8
+ Qwen1.5-1.8B-Chat,0.5502705450000004
9
+ CodeLlama-34b-Instruct-hf,3.851887315425931
10
+ Qwen2-72B-Instruct,0.9480584860151365
11
+ Meta-Llama-3.1-8B-Instruct,0.20630574840608434
12
+ gemma-1.1-7b-it,0.1782953878345513
13
+ gemma-2-27b-it,0.9922771009345804
14
+ openchat-3.5-1210,0.28049827691029705
15
+ codegemma-7b-it,0.30489740508652785
16
+ dolphin-2.5-mixtral-8x7b,1.100729847312237
17
+ sheep-duck-llama-2-70b-v1.1,5.524607914346896
18
+ gpt-4-0613,0.6484411465828742
19
+ Meta-Llama-3-70B-Instruct-hf,3.348256158662245
20
+ openchat_3.5,0.31728768684620623
21
+ Yi-34B-Chat,1.2871676207135385
22
+ gpt-4o-2024-05-13,0.5570990732389735
23
+ openchat-3.5-0106,0.2920951450556654
24
+ Mixtral-8x7B-Instruct-v0.1,0.9392967660636317
25
+ gpt-4,0.9930876319528372
26
+ Qwen1.5-14B-Chat,0.37289333481152975
27
+ mistral-large-2402,0.3967416598893948
28
+ claude-3-5-sonnet-20240620,0.879929281888541
29
+ gemma-7b-it,0.6112263564356414
30
+ gpt-4-0125-preview,1.0418927523113601
31
+ gpt-4-1106-preview,0.7767265743542753
32
+ gemini-1.5-pro-latest,82.90283880578006
33
+ Nous-Hermes-2-Mixtral-8x7B-SFT,0.860892263303385
34
+ claude-2.1,1.6836316221022491
35
+ gemma-1.1-2b-it,0.11925699461279458
36
+ claude-3-opus-20240229,2.955845827917778
37
+ command-r,0.18832414914586068
38
+ gpt-4o-mini-2024-07-18,0.5342684150088973
39
+ sheep-duck-llama-2-13b,2.9462099794520453
40
+ SUS-Chat-34B,2.27951476106911
41
+ claude-3-haiku-20240307,0.869549739619107
42
+ gpt-4o-2024-08-06,0.5169587531894035
43
+ Yi-1.5-34B-Chat,9.232551962889337
44
+ Qwen2-7B-Instruct,0.3589407217948713
45
+ Mixtral-8x22B-Instruct-v0.1,1.0759354563573875
46
+ vicuna-13b-v1.5,1.4753938719676492
47
+ gemma-2-9b-it,0.3692553324432539
48
+ Mistral-7B-Instruct-v0.2,0.7635151196709047
49
+ Qwen1.5-32B-Chat,0.5092292557397938
50
+ Qwen1.5-0.5B-Chat,0.173469139375476
51
+ Starling-LM-7B-beta,1.365002297029707
52
+ gemini-1.0-pro,0.6346876567117742
53
+ gemini-1.5-flash-latest,37.2042672100488
54
+ aya-23-35B,0.5755088395104249
55
+ llama-2-70b-chat-hf,4.724659620079609
56
+ Yi-1.5-9B-Chat,8.02352422018858
57
+ WizardLM-70b-v1.0,3.9249772038834863
58
+ Yi-1.5-6B-Chat,6.496741103848931
59
+ tulu-2-dpo-70b,7.848597339328551
60
+ Qwen1.5-72B-Chat,12.689668927658234
61
+ Mistral-7B-Instruct-v0.1,0.2828647550771723
62
+ gpt-3.5,0.6829601016193744
63
+ aya-23-8B,0.4818848185613409
64
+ Qwen1.5-7B-Chat,0.38989076908838965
65
+ claude-3-sonnet-20240229,1.419486012822594
66
+ vicuna-33b-v1.3,0.8235025152162343
67
+ WizardLM-13b-v1.2,3.565436762576296
68
+ Mistral-Large-Instruct-2407,1.2444667688634197
69
+ command-r-plus,0.3104016019283745