danielrosehill/Open-Router-API-Pricing-Analysis huggingface dataset:
Model: OpenAI: GPT-3.5 Turbo 16k
Vendor: OpenAI
Description: This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
Context length: 16385 tokens
Tokenizer: GPT
Modality: text->text
Input modalities: text
Output modalities: text
Max completion tokens (top provider): 4096.0
Prompt price per 1M tokens (USD): 3.0
Completion price per 1M tokens (USD): 4.0
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 3.5
Output/input cost ratio: 1.33
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Model: Mancer: Weaver (alpha)
Vendor: Mancer
Description: An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
Context length: 8000 tokens
Tokenizer: Llama2
Modality: text->text
Input modalities: text
Output modalities: text
Max completion tokens (top provider): 2000.0
Prompt price per 1M tokens (USD): 1.125
Completion price per 1M tokens (USD): 1.125
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 1.125
Output/input cost ratio: 1.0
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, top_a, top_k, top_logprobs, top_p
Model: ReMM SLERP 13B
Vendor: Undi95
Hugging Face ID: Undi95/ReMM-SLERP-L2-13B
Description: A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Context length: 6144 tokens
Tokenizer: Llama2
Modality: text->text
Input modalities: text
Output modalities: text
Prompt price per 1M tokens (USD): 0.4499999999999999
Completion price per 1M tokens (USD): 0.65
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 0.55
Output/input cost ratio: 1.44
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_a, top_k, top_logprobs, top_p
Model: MythoMax 13B
Vendor: Gryphe
Hugging Face ID: Gryphe/MythoMax-L2-13b
Description: One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
Context length: 4096 tokens
Tokenizer: Llama2
Modality: text->text
Input modalities: text
Output modalities: text
Prompt price per 1M tokens (USD): 0.06
Completion price per 1M tokens (USD): 0.06
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 0.06
Output/input cost ratio: 1.0
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_a, top_k, top_logprobs, top_p
Model: OpenAI: GPT-4 (older v0314)
Vendor: OpenAI
Description: GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 2021.
Context length: 8191 tokens
Tokenizer: GPT
Modality: text->text
Input modalities: text
Output modalities: text
Max completion tokens (top provider): 4096.0
Prompt price per 1M tokens (USD): 30.0
Completion price per 1M tokens (USD): 60.0
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 45.0
Output/input cost ratio: 2.0
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Model: OpenAI: GPT-4
Vendor: OpenAI
Description: OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning capabilities. Training data: up to Sep 2021.
Context length: 8191 tokens
Tokenizer: GPT
Modality: text->text
Input modalities: text
Output modalities: text
Max completion tokens (top provider): 4096.0
Prompt price per 1M tokens (USD): 30.0
Completion price per 1M tokens (USD): 60.0
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 45.0
Output/input cost ratio: 2.0
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Model: OpenAI: GPT-3.5 Turbo
Vendor: OpenAI
Description: GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.

Training data up to Sep 2021.
Context length: 16385 tokens
Tokenizer: GPT
Modality: text->text
Input modalities: text
Output modalities: text
Max completion tokens (top provider): 4096.0
Prompt price per 1M tokens (USD): 0.5
Completion price per 1M tokens (USD): 1.5
Image price (USD): 0.0
Request price (USD): 0.0
Median price per 1M tokens (USD): 1.0
Output/input cost ratio: 3.0
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p