Model comparison
Mistral 7B vs Yi-Lightning
Yi-Lightning is the stronger model overall, scoring 37.1 to 23.0 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Yi-Lightning in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-Lightning leads 36.2 to 8.1.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Yi-Lightning | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 23.0 | 37.1 |
| Released | 2023-09-27 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 37 | 18 |
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Category by category
Coding Too close to call
Mistral 7B: 26.4 (#326), Yi-Lightning: 27.4 (#320)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1082 | 1312 |
| Aider Polyglot | — | 12.9% |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Yi-Lightning leads
Mistral 7B: 13.1 (#336), Yi-Lightning: 25.9 (#139)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1302 |
| Chess Puzzles | 0% | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Yi-Lightning leads
Mistral 7B: 8.1 (#325), Yi-Lightning: 36.2 (#172)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1085 | 1300 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Yi-Lightning leads
Mistral 7B: 7.4 (#311), Yi-Lightning: 35.4 (#185)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1036 | 1286 |
| GPQA Diamond | 15.2% | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Yi-Lightning leads
Mistral 7B: 25.8 (#283), Yi-Lightning: 42.2 (#196)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1012 | 1269 |
| LMArena Chinese | 1009 | 1320 |
| LMArena French | 1037 | 1305 |
| LMArena German | 987 | 1267 |
| LMArena Japanese | 878 | 1228 |
| LMArena Russian | 1018 | 1255 |
| LMArena Spanish | 1026 | 1315 |
| LMArena Korean | — | 1192 |
Instruction Following Yi-Lightning leads
Mistral 7B: 54.2 (#280), Yi-Lightning: 67.4 (#196)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1060 | 1278 |
Long Context Yi-Lightning leads
Mistral 7B: 32.2 (#271), Yi-Lightning: 39.4 (#181)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1060 | 1297 |
Writing & Preference Yi-Lightning leads
Mistral 7B: 30.7 (#286), Yi-Lightning: 50.2 (#184)
| Benchmark | Mistral 7B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1090 | 1302 |
| LMArena Creative Writing | 1068 | 1280 |
| LMArena Multi-Turn | 1062 | 1311 |
Frequently asked questions
Is Mistral 7B better than Yi-Lightning?
Yi-Lightning is the stronger model overall, scoring 37.1 to 23.0 on the Noometry Index.
Is Mistral 7B or Yi-Lightning better for coding?
They score almost the same on coding (26.4 vs 27.4); test both on your own repository before choosing.
How many benchmarks do Mistral 7B and Yi-Lightning share?
16 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Yi-Lightning has 18.