Model comparison
Llama 13b vs Mistral Small 3.1
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
Mistral AISummary
- They share 9 benchmarks with published results for both. Llama 13b scores higher in 1 category and Mistral Small 3.1 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Small 3.1 leads 63.6 to 36.7.
Side by side
| Llama 13b | Mistral Small 3.1 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.4 | 31.7 |
| Released | 2023-02-24 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 102K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $0.56 |
| Results tracked | 21 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
Llama 13b: 21.4 (#337), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 683 | 1309 |
Reasoning Mistral Small 3.1 leads
Llama 13b: 14.0 (#329), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 728 | 1278 |
| Epoch Capabilities Index | 100.58 | 127.48 |
| Chess Puzzles | — | 1% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Llama 13b leads
Llama 13b: 26.7 (#256), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 838 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Mistral Small 3.1: 22.6 (#271)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| LMArena Expert | — | 1257 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Mistral Small 3.1: 33.2 (#99)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
| ScienceQA | 43.3% | — |
Multilingual Mistral Small 3.1 leads
Llama 13b: 16.6 (#297), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 819 | 1255 |
| LMArena Chinese | — | 1253 |
| LMArena French | — | 1273 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1263 |
| LMArena Spanish | — | 1283 |
Instruction Following Mistral Small 3.1 leads
Llama 13b: 36.7 (#305), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 781 | 1264 |
| IFEval | — | 75% |
Long Context Not comparable
Llama 13b: —, Mistral Small 3.1: 39.5 (#178)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | — | 1299 |
Writing & Preference Mistral Small 3.1 leads
Llama 13b: 13.8 (#312), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Llama 13b | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 834 | 1277 |
| LMArena Creative Writing | 794 | 1253 |
| LMArena Multi-Turn | 753 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is Llama 13b better than Mistral Small 3.1?
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 24.4 on the Noometry Index.
Is Llama 13b or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Mistral Small 3.1 share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Mistral Small 3.1 has 28.