API Price Comparisons
Collection
2 items
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Updated
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Context Windows
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===============
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Sample Size: 342
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Central Tendency:
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Mean: 198193.359649
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Median: 131072.000000
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Spread:
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Min: 2824.000000
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Max: 2000000.000000
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Std Dev: 283137.428820
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IQR: 167232.000000
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Quartiles:
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Q1 (25th percentile): 32768.000000
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Q2 (50th percentile): 131072.000000
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Q3 (75th percentile): 200000.000000
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Additional Percentiles:
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10th: 30200.000000
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90th: 300000.000000
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95th: 1045206.800000
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99th: 1048576.000000
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Context Windows - Stratification
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=================================
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Range Distribution:
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2824.000000 - 5443.537545: 8 models ( 2.3%)
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5443.537545 - 10492.953615: 18 models ( 5.3%)
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10492.953615 - 20226.199351: 8 models ( 2.3%)
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20226.199351 - 38987.987100: 53 models ( 15.5%)
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38987.987100 - 75153.176912: 18 models ( 5.3%)
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75153.176912 - 144865.134626: 124 models ( 36.3%)
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144865.134626 - 279241.784480: 77 models ( 22.5%)
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279241.784480 - 538265.983741: 10 models ( 2.9%)
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538265.983741 - 1037560.584969: 8 models ( 2.3%)
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1037560.584969 - 2000000.000000: 18 models ( 5.3%)
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Input Token Pricing (per 1M tokens)
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===================================
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Sample Size: 294
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Central Tendency:
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Mean: 1.932805
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Median: 0.300000
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Spread:
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Min: 0.005000
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Max: 150.000000
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Std Dev: 9.365441
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IQR: 1.000000
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Quartiles:
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Q1 (25th percentile): 0.100000
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Q2 (50th percentile): 0.300000
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Q3 (75th percentile): 1.100000
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Additional Percentiles:
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10th: 0.042400
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90th: 3.000000
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95th: 5.350000
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99th: 20.700000
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Input Token Pricing - Stratification
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=====================================
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Range Distribution:
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0.005000 - 0.014018: 1 models ( 0.3%)
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0.014018 - 0.039300: 23 models ( 7.8%)
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0.039300 - 0.110181: 60 models ( 20.4%)
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0.110181 - 0.308900: 71 models ( 24.1%)
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0.308900 - 0.866025: 51 models ( 17.3%)
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0.866025 - 2.427967: 41 models ( 13.9%)
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2.427967 - 6.806986: 33 models ( 11.2%)
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6.806986 - 19.083895: 10 models ( 3.4%)
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19.083895 - 53.503123: 3 models ( 1.0%)
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53.503123 - 150.000000: 1 models ( 0.3%)
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Output Token Pricing (per 1M tokens)
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====================================
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Sample Size: 294
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Central Tendency:
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Mean: 7.074562
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Median: 1.000000
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Spread:
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Min: 0.010000
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Max: 600.000000
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Std Dev: 37.152968
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IQR: 3.700000
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Quartiles:
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Q1 (25th percentile): 0.300000
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in Data Studio
OpenRouter API Pricing Analysis Dataset
Overview
This dataset provides a point-in-time capture of pricing and parameters for LLMs available through the OpenRouter API for inference.
Contents
Raw Data (raw/)
Contains the original data extracted from the OpenRouter API, including:
- Model pricing (input/output token costs)
- Model parameters and specifications
- Computed fields such as output/input token price ratios
Enhanced Data (hf-enhanced/)
Augmented dataset created by mapping Hugging Face IDs from the OpenRouter API to the Hugging Face API, providing additional model metadata and information.
Use Cases
- Comparative pricing analysis across LLM providers
- Cost optimization for API-based LLM inference
- Model selection based on pricing and parameters
- Historical pricing tracking (point-in-time snapshot)
Data Source
- Primary: OpenRouter API
- Enhancement: Hugging Face API (for models with HF IDs)
Note
This is a point-in-time snapshot. API pricing and model availability may change over time.
- Downloads last month
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Size of downloaded dataset files:
56.4 kB
Size of the auto-converted Parquet files:
20.6 kB
Number of rows:
2,380