Model comparison
Mistral vs Yi-1.5-34B
Mistral and Yi-1.5-34B score almost the same on the Noometry Index (29.9 vs 30.6), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. Mistral scores higher in 4 categories and Yi-1.5-34B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Yi-1.5-34B leads 59.2 to 52.6.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Mistral | Yi-1.5-34B | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 29.9 | 30.6 |
| Released | — | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 21 |
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Category by category
Coding Mistral leads
Mistral: 33.8 (#250), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1162 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Too close to call
Mistral: 22.2 (#200), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1160 |
Math Yi-1.5-34B leads
Mistral: 22.3 (#278), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1180 | 1182 |
| Omni-MATH | 7.2% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Mistral leads
Mistral: 16.6 (#288), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1125 | 1144 |
| GPQA Diamond | — | 32% |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
Multilingual Too close to call
Mistral: 32.8 (#254), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1129 | 1121 |
| LMArena Chinese | 1109 | 1213 |
| LMArena French | 1180 | 1156 |
| LMArena German | 1155 | 1111 |
| LMArena Japanese | 1013 | 1021 |
| LMArena Korean | 1032 | 1005 |
| LMArena Russian | 1168 | 1091 |
| LMArena Spanish | 1143 | 1121 |
Instruction Following Yi-1.5-34B leads
Mistral: 52.6 (#288), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1139 |
| IFEval | 56.8% | — |
Long Context Too close to call
Mistral: 35.0 (#245), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1153 | 1143 |
Writing & Preference Too close to call
Mistral: 37.0 (#260), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Mistral | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1165 | 1173 |
| LMArena Creative Writing | 1158 | 1135 |
| LMArena Multi-Turn | 1147 | 1153 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Yi-1.5-34B?
Mistral and Yi-1.5-34B score almost the same on the Noometry Index (29.9 vs 30.6), so choose on price, context window or the category you care about most.
Is Mistral or Yi-1.5-34B better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 32.4 in the Noometry coding category.
How many benchmarks do Mistral and Yi-1.5-34B share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Yi-1.5-34B has 21.