Model comparison
Llama 2-7B vs Mistral 7B
Llama 2-7B is the stronger model overall, scoring 28.6 to 22.9 on the Noometry Index.
Last verified . 27 shared benchmarks.
Meta
Mistral AISummary
- They share 27 benchmarks with published results for both. Llama 2-7B scores higher in 4 categories and Mistral 7B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-7B leads 28.2 to 7.6.
Side by side
| Llama 2-7B | Mistral 7B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.6 | 22.9 |
| Released | 2023-07-18 | 2023-09-27 |
| Weights | Open | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 29 | 37 |
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Category by category
Coding Llama 2-7B leads
Llama 2-7B: 28.7 (#302), Mistral 7B: 25.9 (#321)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Coding | 1002 | 1082 |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning Llama 2-7B leads
Llama 2-7B: 15.1 (#309), Mistral 7B: 12.6 (#331)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1009 | 1067 |
| BIG-Bench Hard | 39.2% | 56.1% |
| Epoch Capabilities Index | 98.54 | 111.97 |
| HellaSwag | 77.2% | 81% |
| PIQA | 78.8% | 83% |
| WinoGrande | 69.2% | 75.3% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| LAMBADA | 73.3% | — |
Math Llama 2-7B leads
Llama 2-7B: 28.2 (#231), Mistral 7B: 7.6 (#319)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Math | 1042 | 1085 |
| GSM8K | 16.7% | 54.4% |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| MATH Level 5 | — | 3.7% |
Knowledge Llama 2-7B leads
Llama 2-7B: 27.7 (#243), Mistral 7B: 7.3 (#306)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Expert | 1036 | 1036 |
| ARC (AI2) Challenge | 45.9% | 78.6% |
| BoolQ | 77.9% | 87.4% |
| MMLU | 45.8% | 62.5% |
| OpenBookQA | 58.6% | 79.8% |
| TriviaQA | 73.7% | 75.2% |
| GPQA Diamond | — | 15.2% |
Multimodal Not comparable
Llama 2-7B: —, Mistral 7B: —
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Mistral 7B leads
Llama 2-7B: 23.9 (#288), Mistral 7B: 26.0 (#278)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Non-English | 973 | 1012 |
| LMArena Chinese | 973 | 1009 |
| LMArena French | 969 | 1036 |
| LMArena German | 978 | 987 |
| LMArena Russian | 995 | 1018 |
| LMArena Spanish | 1007 | 1026 |
| LMArena Japanese | — | 878 |
Instruction Following Mistral 7B leads
Llama 2-7B: 51.0 (#293), Mistral 7B: 54.5 (#275)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1060 |
Long Context Mistral 7B leads
Llama 2-7B: 30.4 (#282), Mistral 7B: 32.2 (#266)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 999 | 1060 |
Writing & Preference Mistral 7B leads
Llama 2-7B: 28.1 (#293), Mistral 7B: 30.9 (#281)
| Benchmark | Llama 2-7B | Mistral 7B |
|---|---|---|
| LMArena Text | 1053 | 1090 |
| LMArena Creative Writing | 1033 | 1068 |
| LMArena Multi-Turn | 1029 | 1062 |
Frequently asked questions
Is Llama 2-7B better than Mistral 7B?
Llama 2-7B is the stronger model overall, scoring 28.6 to 22.9 on the Noometry Index.
Is Llama 2-7B or Mistral 7B better for coding?
Llama 2-7B scores higher on coding benchmarks: 28.7 versus 25.9 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mistral 7B share?
27 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral 7B has 37.