Rankings
Which model performs best
Speed, reliability and savings for each catalog model. Usage statistics update as API requests come in.
Fastest
gpt-5.4-mini
27.4t/s
Lowest latency
glm-5.3
15.01s
Highest savings
gpt-5.4
−98%
| # | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 83,296 | 4.2B | $92.372 | −88% | 72.3% | 20.66s | 19.1t/s | |
| 2 | 38,661 | 2B | $0.00 | −21% | 68.7% | 24.96s | 21.0t/s | |
| 3 | 12,525 | 365.6M | $0.12 | −94% | 66% | 19.98s | 17.6t/s | |
| 4 | 10,940 | 287.8M | $0.4216 | −69% | 74.3% | 16.54s | 10.5t/s | |
| 5 | 10,470 | 570.9M | $0.2685 | −84% | 73.4% | 18.54s | 18.6t/s | |
| 6 | 7,236 | 34.2M | $0.00 | −98% | 65.1% | 26.77s | 24.0t/s | |
| 7 | 6,516 | 268.4M | $0.034 | −92% | 68.3% | 26.47s | 20.0t/s | |
| 8 | 5,950 | 230.2M | $0.0016 | −85% | 70.3% | 23.42s | 19.9t/s | |
| 9 | 3,460 | 134.9M | $0.0006 | −91% | 73.2% | 15.60s | 18.8t/s | |
| 10 | 2,250 | 85.2M | $0.0001 | −96% | 67.2% | 21.55s | 16.9t/s | |
| 11 | 2,026 | 91.5M | $0.00 | −95% | 76.8% | 20.47s | 17.1t/s | |
| 12 | Ddeepseek-v4-flashDeepSeek | 1,976 | 57.3M | $0.0002 | — | 74.6% | 19.11s | 19.6t/s |
| 13 | 1,892 | 90.1M | $2.545 | −93% | 86.8% | 16.02s | 11.0t/s | |
| 14 | 1,595 | 79.4M | $0.00 | −81% | 73.1% | 18.91s | 18.3t/s | |
| 15 | 1,350 | 3M | $0.00 | −92% | 73.2% | 23.92s | 27.4t/s | |
| 16 | Ddeepseek-v4-proDeepSeek | 704 | 26.4M | $0.0002 | — | 67% | 21.08s | 17.0t/s |
| 17 | Zglm-5.3Z.AI | 617 | 27.5M | $0.0007 | — | 69% | 15.01s | 21.1t/s |
| 18 | 384 | 19M | $0.0001 | −98% | 70.1% | 28.19s | 12.0t/s | |
| 19 | 330 | 1.5M | $0.001 | −95% | 33.9% | 23.72s | 17.8t/s | |
| 20 | 211 | 0 | $0.00 | −89% | 0% | — | — | |
| 21 | 200 | 1.1M | $0.0001 | −95% | 43% | 18.22s | 15.7t/s | |
| 22 | 190 | 817.6K | $0.00 | — | 42.6% | 24.01s | 22.5t/s | |
| 23 | 122 | 0 | $0.00 | −95% | 0% | — | — |