Model comparison
Llama 2-13B vs Mistral Small 3.1
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Meta
Mistral AISummary
- They share 19 benchmarks with published results for both. Llama 2-13B 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 math, where Llama 2-13B leads 31.1 to 14.7.
Side by side
| Llama 2-13B | Mistral Small 3.1 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 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 | 32 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
Llama 2-13B: 30.9 (#291), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1062 | 1309 |
Reasoning Mistral Small 3.1 leads
Llama 2-13B: 12.8 (#337), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| LMArena Hard Prompts | 1051 | 1278 |
| Epoch Capabilities Index | 106.17 | 127.48 |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1065 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Mistral Small 3.1: 22.6 (#271)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1030 | 1257 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Small 3.1: 33.2 (#99)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
| ScienceQA | 55.8% | — |
Multilingual Mistral Small 3.1 leads
Llama 2-13B: 26.5 (#279), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1024 | 1255 |
| LMArena Chinese | 1001 | 1253 |
| LMArena French | 1044 | 1273 |
| LMArena German | 1009 | 1266 |
| LMArena Japanese | 894 | 1208 |
| LMArena Korean | 953 | 1206 |
| LMArena Russian | 1055 | 1263 |
| LMArena Spanish | 1087 | 1283 |
Instruction Following Mistral Small 3.1 leads
Llama 2-13B: 53.3 (#287), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1045 | 1264 |
| IFEval | — | 75% |
Long Context Mistral Small 3.1 leads
Llama 2-13B: 32.3 (#269), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1064 | 1299 |
Writing & Preference Mistral Small 3.1 leads
Llama 2-13B: 29.8 (#289), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Llama 2-13B | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1084 | 1277 |
| LMArena Creative Writing | 1047 | 1253 |
| LMArena Multi-Turn | 1050 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is Llama 2-13B better than Mistral Small 3.1?
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.6 on the Noometry Index.
Is Llama 2-13B or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mistral Small 3.1 share?
19 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Small 3.1 has 28.