Model comparison
Llama 3.1-405B vs Mistral 7B
Llama 3.1-405B is the stronger model overall, scoring 30.7 to 23.0 on the Noometry Index.
Last verified . 28 shared benchmarks.
Meta
Mistral AISummary
- They share 28 benchmarks with published results for both. Llama 3.1-405B scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 7.4.
- The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 3.7% for Mistral 7B.
Side by side
| Llama 3.1-405B | Mistral 7B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.7 | 23.0 |
| Released | 2024-07-23 | 2023-09-27 |
| Weights | Open | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 42 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama 3.1-405B leads
Llama 3.1-405B: 33.1 (#262), Mistral 7B: 26.4 (#326)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| LMArena Coding | 1291 | 1082 |
| WeirdML | 21.4% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 21.0 (#140), Mistral 7B: —
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning Llama 3.1-405B leads
Llama 3.1-405B: 16.8 (#300), Mistral 7B: 13.1 (#336)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1269 | 1067 |
| DTBench | 61.4% | 42.5% |
| BIG-Bench Hard | 82.9% | 56.1% |
| Epoch Capabilities Index | 128.75 | 112.21 |
| HellaSwag | 89.2% | 81% |
| PIQA | 85.9% | 83% |
| WinoGrande | 89.2% | 75.3% |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| Chess Puzzles | — | 0% |
| Adversarial NLI | — | 47.1% |
| ForecastBench | 59.9 | — |
Math Llama 3.1-405B leads
Llama 3.1-405B: 18.4 (#290), Mistral 7B: 8.1 (#325)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | 0.3% |
| LMArena Math | 1281 | 1085 |
| MATH Level 5 | 49.8% | 3.7% |
| Omni-MATH | 24.9% | — |
| GSM8K | — | 54.4% |
Knowledge Llama 3.1-405B leads
Llama 3.1-405B: 30.4 (#227), Mistral 7B: 7.4 (#311)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| GPQA Diamond | 50.9% | 15.2% |
| LMArena Expert | 1243 | 1036 |
| ARC (AI2) Challenge | 95.3% | 78.6% |
| MMLU | 84.5% | 62.5% |
| TriviaQA | 82.7% | 75.2% |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| BoolQ | — | 87.4% |
| OpenBookQA | — | 79.8% |
Multilingual Llama 3.1-405B leads
Llama 3.1-405B: 40.7 (#214), Mistral 7B: 25.8 (#283)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1248 | 1012 |
| LMArena Chinese | 1242 | 1009 |
| LMArena French | 1279 | 1037 |
| LMArena German | 1252 | 987 |
| LMArena Japanese | 1208 | 878 |
| LMArena Russian | 1265 | 1018 |
| LMArena Spanish | 1260 | 1026 |
| LMArena Korean | 1184 | — |
Instruction Following Llama 3.1-405B leads
Llama 3.1-405B: 65.9 (#214), Mistral 7B: 54.2 (#280)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1259 | 1060 |
| IFEval | 81.1% | — |
Long Context Llama 3.1-405B leads
Llama 3.1-405B: 38.4 (#197), Mistral 7B: 32.2 (#271)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1266 | 1060 |
Writing & Preference Llama 3.1-405B leads
Llama 3.1-405B: 38.9 (#251), Mistral 7B: 30.7 (#286)
| Benchmark | Llama 3.1-405B | Mistral 7B |
|---|---|---|
| LMArena Text | 1284 | 1090 |
| LMArena Creative Writing | 1262 | 1068 |
| LMArena Multi-Turn | 1297 | 1062 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
Frequently asked questions
Is Llama 3.1-405B better than Mistral 7B?
Llama 3.1-405B is the stronger model overall, scoring 30.7 to 23.0 on the Noometry Index.
Is Llama 3.1-405B or Mistral 7B better for coding?
Llama 3.1-405B scores higher on coding benchmarks: 33.1 versus 26.4 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and Mistral 7B share?
28 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Mistral 7B has 37.