Model comparison
Mixtral 8x7B vs Yi-Large
Mixtral 8x7B has enough public results to be ranked (#334); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Mixtral 8x7B 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 36.7 to 32.8.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Mixtral 8x7B | Yi-Large | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 27.1 | 38.1 |
| Released | 2023-12-11 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 32K | — |
| Max output | 32K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 38 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-Large leads
Mixtral 8x7B: 32.8 (#269), Yi-Large: 36.7 (#203)
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1126 | — |
| BigCodeBench Complete | — | 47.2% |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning Not comparable
Mixtral 8x7B: 18.2 (#285), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| LMArena Hard Prompts | 1115 | — |
| DTBench | 49.6% | — |
| Adversarial NLI | 55.2% | — |
| Epoch Capabilities Index | 118.47 | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Not comparable
Mixtral 8x7B: 18.8 (#289), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Not comparable
Mixtral 8x7B: 11.0 (#301), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| MMLU | 70.6% | 79.3% |
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| ARC (AI2) Challenge | 87.3% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Not comparable
Mixtral 8x7B: 29.6 (#266), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1166 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1111 | — |
Instruction Following Not comparable
Mixtral 8x7B: 51.0 (#297), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1109 | — |
Long Context Not comparable
Mixtral 8x7B: 33.4 (#260), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1103 | — |
Writing & Preference Not comparable
Mixtral 8x7B: 34.2 (#270), Yi-Large: —
| Benchmark | Mixtral 8x7B | Yi-Large |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |
Frequently asked questions
Is Mixtral 8x7B better than Yi-Large?
Mixtral 8x7B has enough public results to be ranked (#334); Yi-Large does not yet, so treat this comparison as directional.
Is Mixtral 8x7B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 32.8 in the Noometry coding category.
How many benchmarks do Mixtral 8x7B and Yi-Large share?
1 benchmark has published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Yi-Large has 3.