Model comparison
Llama 2-7B vs Mistral Small 3.2
Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 28.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Mistral AISummary
- They share 2 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Mistral Small 3.2 in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small 3.2 leads 45.1 to 28.1.
Side by side
| Llama 2-7B | Mistral Small 3.2 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.6 | 30.8 |
| Released | 2023-07-18 | 2025-06-20 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.0938 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 29 | 6 |
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Category by category
Coding Not comparable
Llama 2-7B: 28.7 (#302), Mistral Small 3.2: —
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1002 | — |
Reasoning Mistral Small 3.2 leads
Llama 2-7B: 15.1 (#309), Mistral Small 3.2: 17.5 (#282)
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Epoch Capabilities Index | 98.54 | 131.73 |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1009 | — |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 28.2 (#231), Mistral Small 3.2: 24.9 (#251)
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Too close to call
Llama 2-7B: 27.7 (#243), Mistral Small 3.2: 26.8 (#249)
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Mistral Small 3.2: —
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.9 (#288), Mistral Small 3.2: —
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 969 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 51.0 (#293), Mistral Small 3.2: —
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#282), Mistral Small 3.2: —
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Mistral Small 3.2 leads
Llama 2-7B: 28.1 (#293), Mistral Small 3.2: 45.1 (#219)
| Benchmark | Llama 2-7B | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Mistral Small 3.2?
Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 28.6 on the Noometry Index.
How many benchmarks do Llama 2-7B and Mistral Small 3.2 share?
2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Small 3.2 has 6.