Model comparison
Mistral Large vs Yi-Lightning
Yi-Lightning is the stronger model overall, scoring 37.1 to 31.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. Mistral Large scores higher in 2 categories and Yi-Lightning in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-Lightning leads 36.2 to 18.2.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Mistral Large | Yi-Lightning | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 31.9 | 37.1 |
| Released | 2024-02-26 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 18 |
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Category by category
Coding Mistral Large leads
Mistral Large: 34.3 (#240), Yi-Lightning: 27.4 (#320)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1277 | 1312 |
| Aider Polyglot | — | 12.9% |
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Yi-Lightning: —
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Yi-Lightning leads
Mistral Large: 15.8 (#310), Yi-Lightning: 25.9 (#139)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1302 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Yi-Lightning leads
Mistral Large: 18.2 (#291), Yi-Lightning: 36.2 (#172)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Math | 1262 | 1300 |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Yi-Lightning leads
Mistral Large: 30.1 (#230), Yi-Lightning: 35.4 (#185)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1232 | 1286 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |
Multilingual Yi-Lightning leads
Mistral Large: 40.0 (#219), Yi-Lightning: 42.2 (#196)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1237 | 1269 |
| LMArena Chinese | 1240 | 1320 |
| LMArena French | 1325 | 1305 |
| LMArena German | 1254 | 1267 |
| LMArena Japanese | 1188 | 1228 |
| LMArena Korean | 1202 | 1192 |
| LMArena Russian | 1257 | 1255 |
| LMArena Spanish | 1268 | 1315 |
Instruction Following Too close to call
Mistral Large: 67.9 (#191), Yi-Lightning: 67.4 (#196)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1249 | 1278 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Yi-Lightning leads
Mistral Large: 38.3 (#199), Yi-Lightning: 39.4 (#181)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1261 | 1297 |
Writing & Preference Yi-Lightning leads
Mistral Large: 40.7 (#242), Yi-Lightning: 50.2 (#184)
| Benchmark | Mistral Large | Yi-Lightning |
|---|---|---|
| LMArena Text | 1266 | 1302 |
| LMArena Creative Writing | 1243 | 1280 |
| LMArena Multi-Turn | 1260 | 1311 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Yi-Lightning?
Yi-Lightning is the stronger model overall, scoring 37.1 to 31.9 on the Noometry Index.
Is Mistral Large or Yi-Lightning better for coding?
Mistral Large scores higher on coding benchmarks: 34.3 versus 27.4 in the Noometry coding category.
How many benchmarks do Mistral Large and Yi-Lightning share?
17 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Yi-Lightning has 18.