| OpenRouter API Pricing Analysis - Summary Report | |
| ============================================================ | |
| Dataset: 342 models analyzed | |
| ============================================================ | |
| Context Windows | |
| =============== | |
| Sample Size: 342 | |
| Central Tendency: | |
| Mean: 198193.359649 | |
| Median: 131072.000000 | |
| Spread: | |
| Min: 2824.000000 | |
| Max: 2000000.000000 | |
| Std Dev: 283137.428820 | |
| IQR: 167232.000000 | |
| Quartiles: | |
| Q1 (25th percentile): 32768.000000 | |
| Q2 (50th percentile): 131072.000000 | |
| Q3 (75th percentile): 200000.000000 | |
| Additional Percentiles: | |
| 10th: 30200.000000 | |
| 90th: 300000.000000 | |
| 95th: 1045206.800000 | |
| 99th: 1048576.000000 | |
| Context Windows - Stratification | |
| ================================= | |
| Range Distribution: | |
| 2824.000000 - 5443.537545: 8 models ( 2.3%) | |
| 5443.537545 - 10492.953615: 18 models ( 5.3%) | |
| 10492.953615 - 20226.199351: 8 models ( 2.3%) | |
| 20226.199351 - 38987.987100: 53 models ( 15.5%) | |
| 38987.987100 - 75153.176912: 18 models ( 5.3%) | |
| 75153.176912 - 144865.134626: 124 models ( 36.3%) | |
| 144865.134626 - 279241.784480: 77 models ( 22.5%) | |
| 279241.784480 - 538265.983741: 10 models ( 2.9%) | |
| 538265.983741 - 1037560.584969: 8 models ( 2.3%) | |
| 1037560.584969 - 2000000.000000: 18 models ( 5.3%) | |
| ============================================================ | |
| Input Token Pricing (per 1M tokens) | |
| =================================== | |
| Sample Size: 294 | |
| Central Tendency: | |
| Mean: 1.932805 | |
| Median: 0.300000 | |
| Spread: | |
| Min: 0.005000 | |
| Max: 150.000000 | |
| Std Dev: 9.365441 | |
| IQR: 1.000000 | |
| Quartiles: | |
| Q1 (25th percentile): 0.100000 | |
| Q2 (50th percentile): 0.300000 | |
| Q3 (75th percentile): 1.100000 | |
| Additional Percentiles: | |
| 10th: 0.042400 | |
| 90th: 3.000000 | |
| 95th: 5.350000 | |
| 99th: 20.700000 | |
| Input Token Pricing - Stratification | |
| ===================================== | |
| Range Distribution: | |
| 0.005000 - 0.014018: 1 models ( 0.3%) | |
| 0.014018 - 0.039300: 23 models ( 7.8%) | |
| 0.039300 - 0.110181: 60 models ( 20.4%) | |
| 0.110181 - 0.308900: 71 models ( 24.1%) | |
| 0.308900 - 0.866025: 51 models ( 17.3%) | |
| 0.866025 - 2.427967: 41 models ( 13.9%) | |
| 2.427967 - 6.806986: 33 models ( 11.2%) | |
| 6.806986 - 19.083895: 10 models ( 3.4%) | |
| 19.083895 - 53.503123: 3 models ( 1.0%) | |
| 53.503123 - 150.000000: 1 models ( 0.3%) | |
| ============================================================ | |
| Output Token Pricing (per 1M tokens) | |
| ==================================== | |
| Sample Size: 294 | |
| Central Tendency: | |
| Mean: 7.074562 | |
| Median: 1.000000 | |
| Spread: | |
| Min: 0.010000 | |
| Max: 600.000000 | |
| Std Dev: 37.152968 | |
| IQR: 3.700000 | |
| Quartiles: | |
| Q1 (25th percentile): 0.300000 | |
| Q2 (50th percentile): 1.000000 | |
| Q3 (75th percentile): 4.000000 | |
| Additional Percentiles: | |
| 10th: 0.103000 | |
| 90th: 10.000000 | |
| 95th: 15.000000 | |
| 99th: 75.350000 | |
| Output Token Pricing - Stratification | |
| ====================================== | |
| Range Distribution: | |
| 0.010000 - 0.030048: 4 models ( 1.4%) | |
| 0.030048 - 0.090288: 15 models ( 5.1%) | |
| 0.090288 - 0.271297: 48 models ( 16.3%) | |
| 0.271297 - 0.815193: 69 models ( 23.5%) | |
| 0.815193 - 2.449490: 70 models ( 23.8%) | |
| 2.449490 - 7.360219: 37 models ( 12.6%) | |
| 7.360219 - 22.115964: 38 models ( 12.9%) | |
| 22.115964 - 66.453981: 7 models ( 2.4%) | |
| 66.453981 - 199.680716: 5 models ( 1.7%) | |
| 199.680716 - 600.000000: 0 models ( 0.0%) | |
| ============================================================ | |
| Output/Input Price Ratio | |
| ======================== | |
| Sample Size: 294 | |
| Central Tendency: | |
| Mean: 3.528242 | |
| Median: 4.000000 | |
| Spread: | |
| Min: 0.800000 | |
| Max: 11.666667 | |
| Std Dev: 1.909742 | |
| IQR: 2.166667 | |
| Quartiles: | |
| Q1 (25th percentile): 2.000000 | |
| Q2 (50th percentile): 4.000000 | |
| Q3 (75th percentile): 4.166667 | |
| Additional Percentiles: | |
| 10th: 1.000000 | |
| 90th: 5.000000 | |
| 95th: 8.000000 | |
| 99th: 8.450000 | |
| Output/Input Price Ratio - Stratification | |
| ========================================== | |
| Range Distribution: | |
| 0.800000 - 1.045865: 40 models ( 13.6%) | |
| 1.045865 - 1.367292: 7 models ( 2.4%) | |
| 1.367292 - 1.787504: 21 models ( 7.1%) | |
| 1.787504 - 2.336860: 20 models ( 6.8%) | |
| 2.336860 - 3.055050: 38 models ( 12.9%) | |
| 3.055050 - 3.993963: 20 models ( 6.8%) | |
| 3.993963 - 5.221433: 121 models ( 41.2%) | |
| 5.221433 - 6.826144: 7 models ( 2.4%) | |
| 6.826144 - 8.924032: 17 models ( 5.8%) | |
| 8.924032 - 11.666667: 2 models ( 0.7%) | |