Model comparison
Llama 3.2 90B vs Mistral
Mistral is the stronger model overall, scoring 29.4 to 27.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Mistral AISummary
- The widest gap is in math, where Mistral leads 20.5 to 10.4.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.2 90B | Mistral | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 27.1 | 29.4 |
| Released | 2024-09-24 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 22 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Mistral: 33.2 (#249)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| LMArena Coding | — | 1162 |
Agentic & Tool Use Not comparable
Llama 3.2 90B: 29.7 (#73), Mistral: —
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| BALROG | 27.3% | — |
Reasoning Too close to call
Llama 3.2 90B: 20.9 (#207), Mistral: 21.3 (#199)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| EnigmaEval | 0.4% | — |
| LMArena Hard Prompts | — | 1149 |
| Epoch Capabilities Index | 125.5 | — |
Math Mistral leads
Llama 3.2 90B: 10.4 (#302), Mistral: 20.5 (#275)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| Omni-MATH | — | 7.2% |
| LMArena Math | — | 1180 |
| MATH Level 5 | 39.4% | — |
Knowledge Llama 3.2 90B leads
Llama 3.2 90B: 21.7 (#269), Mistral: 16.3 (#283)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| GPQA Diamond | 41% | — |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| LMArena Expert | — | 1125 |
| MMLU | 80.3% | — |
Multimodal Not comparable
Llama 3.2 90B: 24.9 (#119), Mistral: —
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Llama 3.2 90B: —, Mistral: 33.0 (#249)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| LMArena Non-English | — | 1129 |
| LMArena Chinese | — | 1109 |
| LMArena French | — | 1179 |
| LMArena German | — | 1155 |
| LMArena Japanese | — | 1012 |
| LMArena Korean | — | 1032 |
| LMArena Russian | — | 1168 |
| LMArena Spanish | — | 1143 |
Instruction Following Not comparable
Llama 3.2 90B: —, Mistral: 52.9 (#283)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| IFEval | — | 56.8% |
| LMArena Instruction Following | — | 1152 |
Long Context Not comparable
Llama 3.2 90B: —, Mistral: 35.0 (#240)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| LMArena Longer Query | — | 1154 |
Writing & Preference Not comparable
Llama 3.2 90B: —, Mistral: 37.2 (#255)
| Benchmark | Llama 3.2 90B | Mistral |
|---|---|---|
| LMArena Text | — | 1165 |
| LMArena Creative Writing | — | 1158 |
| WildBench | — | 66% |
| LMArena Multi-Turn | — | 1147 |
Frequently asked questions
Is Llama 3.2 90B better than Mistral?
Mistral is the stronger model overall, scoring 29.4 to 27.1 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and Mistral share?
0 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Mistral has 22.