Model comparison
Mistral 7B vs Yi-Large
Mistral 7B has enough public results to be ranked (#346); 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 7B scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.1 to 25.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 27.3% for Mistral 7B and 47.2% for Yi-Large.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Yi-Large | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 22.9 | 37.6 |
| Released | 2023-09-27 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 37 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-Large leads
Mistral 7B: 25.9 (#321), Yi-Large: 36.1 (#201)
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 19.5% | 37.7% |
| BigCodeBench Complete | 27.3% | 47.2% |
| LMArena Coding | 1082 | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Not comparable
Mistral 7B: 12.6 (#331), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 111.97 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 7.6 (#319), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Not comparable
Mistral 7B: 7.3 (#306), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| MMLU | 62.5% | 79.3% |
| GPQA Diamond | 15.2% | — |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Not comparable
Mistral 7B: 26.0 (#278), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1036 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.5 (#275), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#266), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.9 (#281), Yi-Large: —
| Benchmark | Mistral 7B | Yi-Large |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Yi-Large?
Mistral 7B has enough public results to be ranked (#346); Yi-Large does not yet, so treat this comparison as directional.
Is Mistral 7B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.1 versus 25.9 in the Noometry coding category.
How many benchmarks do Mistral 7B and Yi-Large share?
3 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Yi-Large has 3.