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Molmo 7B-D vs Gemini 2.5 Flash-Lite (Non-reasoning)
Allen Institute for AI vs Google — side-by-side benchmark comparison
| Molmo 7B-D | Gemini 2.5 Flash-Lite (Non-reasoning) | |
|---|---|---|
| Intelligence Index | 9.2 | 12.7 |
| Coding Index | 1.2 | 7.4 |
| Math Index | 0.0 | 35.3 |
| Output speed (tok/s) | 0.0 | 294.2 |
| Blended price ($/1M) | $0.00 | $0.17 |
| Time to first token (s) | 0.00s | 0.34s |
| aime | — | 50.0% |
| aime 25 | 0.0% | 35.3% |
| artificial analysis coding index | 1.20 | 7.40 |
| artificial analysis intelligence index | 9.20 | 12.70 |
| artificial analysis math index | 0.0% | 35.30 |
| gpqa | 24.0% | 47.4% |
| hle | 5.1% | 3.7% |
| ifbench | 19.7% | 31.5% |
| lcr | 0.0% | 31.3% |
| livecodebench | 3.9% | 40.0% |
| math 500 | — | 92.6% |
| mmlu pro | 37.1% | 72.4% |
| scicode | 3.6% | 17.7% |
| tau2 | 0.0% | 19.0% |
| terminalbench hard | 0.0% | 2.3% |
Benchmark data from Artificial Analysis.