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JT-35B-Flash vs Llama 3.1 Tulu3 405B
China Mobile vs Allen Institute for AI — side-by-side benchmark comparison
| JT-35B-Flash | Llama 3.1 Tulu3 405B | |
|---|---|---|
| Intelligence Index | 36.1 | 14.1 |
| Coding Index | 28.9 | — |
| Math Index | — | — |
| Output speed (tok/s) | 0.0 | 0.0 |
| Blended price ($/1M) | $0.00 | $0.00 |
| Time to first token (s) | 0.00s | 0.00s |
| aime | — | 13.3% |
| aime 25 | — | — |
| artificial analysis coding index | 28.90 | — |
| artificial analysis intelligence index | 36.10 | 14.10 |
| artificial analysis math index | — | — |
| gpqa | 82.9% | 51.6% |
| hle | 6.1% | 3.5% |
| ifbench | 42.0% | — |
| lcr | 55.3% | — |
| livecodebench | — | 29.1% |
| math 500 | — | 77.8% |
| mmlu pro | — | 71.6% |
| scicode | 29.1% | 30.2% |
| tau2 | 99.1% | — |
| terminalbench hard | 28.8% | — |
Benchmark data from Artificial Analysis.