Model comparison
Llama 2-13B vs Mistral
Llama 2-13B and Mistral score almost the same on the Noometry Index (29.6 vs 29.9), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Meta
Mistral AISummary
- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Mistral in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-13B leads 28.1 to 16.6.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Mistral | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 29.9 |
| Released | 2023-07-18 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 22 |
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Category by category
Coding Mistral leads
Llama 2-13B: 30.9 (#291), Mistral: 33.8 (#250)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Coding | 1062 | 1162 |
Reasoning Mistral leads
Llama 2-13B: 12.8 (#337), Mistral: 22.2 (#200)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1149 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Mistral: 22.3 (#278)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Math | 1065 | 1180 |
| Omni-MATH | — | 7.2% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Mistral: 16.6 (#288)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Expert | 1030 | 1125 |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral: —
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Mistral leads
Llama 2-13B: 26.5 (#279), Mistral: 32.8 (#254)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Non-English | 1024 | 1129 |
| LMArena Chinese | 1001 | 1109 |
| LMArena French | 1044 | 1180 |
| LMArena German | 1009 | 1155 |
| LMArena Japanese | 894 | 1013 |
| LMArena Korean | 953 | 1032 |
| LMArena Russian | 1055 | 1168 |
| LMArena Spanish | 1087 | 1143 |
Instruction Following Too close to call
Llama 2-13B: 53.3 (#287), Mistral: 52.6 (#288)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Instruction Following | 1045 | 1152 |
| IFEval | — | 56.8% |
Long Context Mistral leads
Llama 2-13B: 32.3 (#269), Mistral: 35.0 (#245)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Longer Query | 1064 | 1153 |
Writing & Preference Mistral leads
Llama 2-13B: 29.8 (#289), Mistral: 37.0 (#260)
| Benchmark | Llama 2-13B | Mistral |
|---|---|---|
| LMArena Text | 1084 | 1165 |
| LMArena Creative Writing | 1047 | 1158 |
| LMArena Multi-Turn | 1050 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is Llama 2-13B better than Mistral?
Llama 2-13B and Mistral score almost the same on the Noometry Index (29.6 vs 29.9), so choose on price, context window or the category you care about most.
Is Llama 2-13B or Mistral better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mistral share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral has 22.