Model comparison
Mistral Large vs Yi-Large
Mistral Large has enough public results to be ranked (#263); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Mistral Large scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is BigCodeBench Complete: 38.3% for Mistral Large and 47.2% for Yi-Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Mistral Large | Yi-Large | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 31.9 | 38.1 |
| Released | 2024-02-26 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 3 |
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Category by category
Coding Yi-Large leads
Mistral Large: 34.3 (#240), Yi-Large: 36.7 (#203)
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 30% | 37.7% |
| BigCodeBench Complete | 38.3% | 47.2% |
| SciCode | 36.2% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Not comparable
Mistral Large: 15.8 (#310), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Not comparable
Mistral Large: 18.2 (#291), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Mistral Large: 30.1 (#230), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| MMLU | 80% | 79.3% |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
Multilingual Not comparable
Mistral Large: 40.0 (#219), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Not comparable
Mistral Large: 40.7 (#242), Yi-Large: —
| Benchmark | Mistral Large | Yi-Large |
|---|---|---|
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Yi-Large?
Mistral Large has enough public results to be ranked (#263); Yi-Large does not yet, so treat this comparison as directional.
Is Mistral Large or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 34.3 in the Noometry coding category.
How many benchmarks do Mistral Large and Yi-Large share?
3 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Yi-Large has 3.