Model comparison
Llama 2-7B vs Mistral Small 3.1
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Mistral AISummary
- They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Mistral Small 3.1 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Mistral Small 3.1 leads 41.2 to 23.8.
Side by side
| Llama 2-7B | Mistral Small 3.1 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 31.7 |
| Released | 2023-07-18 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 102K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $0.56 |
| Results tracked | 29 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
Llama 2-7B: 29.2 (#307), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1002 | 1309 |
Reasoning Mistral Small 3.1 leads
Llama 2-7B: 15.7 (#312), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| LMArena Hard Prompts | 1009 | 1278 |
| Epoch Capabilities Index | 99.06 | 127.48 |
| 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: 30.7 (#233), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1042 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Mistral Small 3.1: 22.6 (#271)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1036 | 1257 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| 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 3.1: 33.2 (#99)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
| ScienceQA | 43.1% | — |
Multilingual Mistral Small 3.1 leads
Llama 2-7B: 23.8 (#293), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 973 | 1255 |
| LMArena Chinese | 973 | 1253 |
| LMArena French | 970 | 1273 |
| LMArena German | 978 | 1266 |
| LMArena Russian | 995 | 1263 |
| LMArena Spanish | 1007 | 1283 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1206 |
Instruction Following Mistral Small 3.1 leads
Llama 2-7B: 50.8 (#298), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1264 |
| IFEval | — | 75% |
Long Context Mistral Small 3.1 leads
Llama 2-7B: 30.4 (#287), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 999 | 1299 |
Writing & Preference Mistral Small 3.1 leads
Llama 2-7B: 28.0 (#298), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Llama 2-7B | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1053 | 1277 |
| LMArena Creative Writing | 1033 | 1253 |
| LMArena Multi-Turn | 1029 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is Llama 2-7B better than Mistral Small 3.1?
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.1 on the Noometry Index.
Is Llama 2-7B or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mistral Small 3.1 share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Small 3.1 has 28.