Model comparison
Mistral Nemo vs Yi-Large
Mistral Nemo has enough public results to be ranked (#332); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | Yi-Large | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 25.9 | 37.6 |
| Released | 2024-07-01 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 10 | 3 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Yi-Large: 36.1 (#201)
| Benchmark | Mistral Nemo | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | — | 37.7% |
| BigCodeBench Complete | — | 47.2% |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.3 (#118), Yi-Large: —
| Benchmark | Mistral Nemo | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Not comparable
Mistral Nemo: 19.9 (#230), Yi-Large: —
| Benchmark | Mistral Nemo | Yi-Large |
|---|---|---|
| DTBench | 48.6% | — |
| Epoch Capabilities Index | 118.63 | — |
| PIQA | 83.5% | — |
Math Not comparable
Mistral Nemo: 23.5 (#263), Yi-Large: —
| Benchmark | Mistral Nemo | Yi-Large |
|---|---|---|
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Not comparable
Mistral Nemo: 12.3 (#293), Yi-Large: —
| Benchmark | Mistral Nemo | Yi-Large |
|---|---|---|
| GPQA Diamond | 29.9% | — |
| BoolQ | 82.5% | — |
| MMLU | — | 79.3% |
Writing & Preference Not comparable
Mistral Nemo: 28.6 (#291), Yi-Large: —
| Benchmark | Mistral Nemo | Yi-Large |
|---|---|---|
| EQ-Bench Creative Writing | 881 | — |
Frequently asked questions
Is Mistral Nemo better than Yi-Large?
Mistral Nemo has enough public results to be ranked (#332); Yi-Large does not yet, so treat this comparison as directional.
How many benchmarks do Mistral Nemo and Yi-Large share?
0 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Yi-Large has 3.