Model comparison
Llama 3-8B vs Mistral
Mistral is the stronger model overall, scoring 29.9 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Mistral AISummary
- They share 17 benchmarks with published results for both. Llama 3-8B scores higher in 2 categories and Mistral in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral leads 22.3 to 8.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Mistral | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 25.5 | 29.9 |
| Released | 2024-04-18 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 22 |
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Category by category
Coding Mistral leads
Llama 3-8B: 31.0 (#289), Mistral: 33.8 (#250)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Coding | 1152 | 1162 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Mistral leads
Llama 3-8B: 14.3 (#326), Mistral: 22.2 (#200)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1149 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Mistral leads
Llama 3-8B: 8.8 (#323), Mistral: 22.3 (#278)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Math | 1151 | 1180 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| Omni-MATH | — | 7.2% |
| MATH Level 5 | 6.1% | — |
Knowledge Mistral leads
Llama 3-8B: 7.8 (#308), Mistral: 16.6 (#288)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Expert | 1113 | 1125 |
| GPQA Diamond | 26.1% | — |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Mistral leads
Llama 3-8B: 30.8 (#261), Mistral: 32.8 (#254)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Non-English | 1098 | 1129 |
| LMArena Chinese | 1076 | 1109 |
| LMArena French | 1159 | 1180 |
| LMArena German | 1104 | 1155 |
| LMArena Japanese | 967 | 1013 |
| LMArena Korean | 1004 | 1032 |
| LMArena Russian | 1109 | 1168 |
| LMArena Spanish | 1173 | 1143 |
Instruction Following Llama 3-8B leads
Llama 3-8B: 58.4 (#260), Mistral: 52.6 (#288)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Instruction Following | 1127 | 1152 |
| IFEval | — | 56.8% |
Long Context Too close to call
Llama 3-8B: 34.2 (#251), Mistral: 35.0 (#245)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Longer Query | 1128 | 1153 |
Writing & Preference Too close to call
Llama 3-8B: 37.5 (#256), Mistral: 37.0 (#260)
| Benchmark | Llama 3-8B | Mistral |
|---|---|---|
| LMArena Text | 1166 | 1165 |
| LMArena Creative Writing | 1150 | 1158 |
| LMArena Multi-Turn | 1152 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is Llama 3-8B better than Mistral?
Mistral is the stronger model overall, scoring 29.9 to 25.5 on the Noometry Index.
Is Llama 3-8B or Mistral better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Mistral share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Mistral has 22.