Model comparison
Llama 3.2 90B vs Mistral Small
Mistral Small is the stronger model overall, scoring 33.4 to 27.5 on the Noometry Index.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. Llama 3.2 90B scores higher in 2 categories and Mistral Small in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small leads 31.0 to 21.7.
- The biggest single-benchmark swing is MATH Level 5: 39.4% for Llama 3.2 90B and 46.8% for Mistral Small.
Side by side
| Llama 3.2 90B | Mistral Small | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 27.5 | 33.4 |
| Released | 2024-09-24 | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 9 | 39 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Mistral Small: 34.0 (#247)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| LMArena Coding | — | 1362 |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Llama 3.2 90B leads
Llama 3.2 90B: 30.0 (#80), Mistral Small: 28.1 (#93)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
| BALROG | 27.3% | — |
Reasoning Llama 3.2 90B leads
Llama 3.2 90B: 21.7 (#217), Mistral Small: 19.8 (#250)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| EnigmaEval | 0.4% | — |
| LiveBench Reasoning | — | 44.8% |
| LMArena Hard Prompts | — | 1335 |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| Epoch Capabilities Index | 125.5 | — |
| LiveBench | — | 44% |
Math Mistral Small leads
Llama 3.2 90B: 11.1 (#308), Mistral Small: 16.4 (#293)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | 5.8% |
| MATH Level 5 | 39.4% | 46.8% |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
Knowledge Mistral Small leads
Llama 3.2 90B: 21.7 (#274), Mistral Small: 31.0 (#222)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| GPQA Diamond | 41% | 47.5% |
| MMLU | 80.3% | 68.7% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1291 |
Multimodal Mistral Small leads
Llama 3.2 90B: 25.4 (#124), Mistral Small: 33.5 (#96)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| LMArena Vision | 1000 | 1142 |
| GeoBench | 52% | — |
Multilingual Not comparable
Llama 3.2 90B: —, Mistral Small: 45.5 (#169)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| LMArena Non-English | — | 1315 |
| LMArena Chinese | — | 1340 |
| LMArena French | — | 1337 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Not comparable
Llama 3.2 90B: —, Mistral Small: 66.4 (#209)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | — | 63.7% |
| LMArena Instruction Following | — | 1310 |
Long Context Not comparable
Llama 3.2 90B: —, Mistral Small: 40.4 (#156)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
Llama 3.2 90B: —, Mistral Small: 52.5 (#171)
| Benchmark | Llama 3.2 90B | Mistral Small |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1305 |
| LMArena Multi-Turn | — | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Llama 3.2 90B better than Mistral Small?
Mistral Small is the stronger model overall, scoring 33.4 to 27.5 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and Mistral Small share?
5 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Mistral Small has 39.