Model comparison
Llama 3.1-405B vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.3 to 30.7 on the Noometry Index.
Last verified . 23 shared benchmarks.
Meta
Mistral AISummary
- They share 23 benchmarks with published results for both. Llama 3.1-405B scores higher in 1 category and Mistral Medium in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 38.9.
- The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 81.6% for Mistral Medium.
Side by side
| Llama 3.1-405B | Mistral Medium | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.7 | 36.3 |
| Released | 2024-07-23 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 42 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Medium leads
Llama 3.1-405B: 33.1 (#262), Mistral Medium: 34.2 (#243)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| WeirdML | 21.4% | 43.7% |
| LMArena Coding | 1291 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Mistral Medium leads
Llama 3.1-405B: 21.0 (#140), Mistral Medium: 28.3 (#90)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning Mistral Medium leads
Llama 3.1-405B: 16.8 (#300), Mistral Medium: 24.0 (#167)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 45% | 50% |
| LMArena Hard Prompts | 1269 | 1426 |
| DTBench | 61.4% | 75.5% |
| SimpleBench | 23% | — |
| CritPt | — | 0% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math Mistral Medium leads
Llama 3.1-405B: 18.4 (#290), Mistral Medium: 28.1 (#245)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | 32.2% |
| LMArena Math | 1281 | 1408 |
| MATH Level 5 | 49.8% | 81.6% |
| ProofBench | — | 9% |
| Omni-MATH | 24.9% | — |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Llama 3.1-405B leads
Llama 3.1-405B: 30.4 (#227), Mistral Medium: 25.0 (#265)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| GPQA Diamond | 50.9% | 59.5% |
| LMArena Expert | 1243 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| Vectara Hallucination Rate | — | 22.7% |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |
Multimodal Not comparable
Llama 3.1-405B: —, Mistral Medium: 35.3 (#88)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Mistral Medium leads
Llama 3.1-405B: 40.7 (#214), Mistral Medium: 52.1 (#91)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1248 | 1408 |
| LMArena Chinese | 1242 | 1447 |
| LMArena French | 1279 | 1459 |
| LMArena German | 1252 | 1432 |
| LMArena Japanese | 1208 | 1378 |
| LMArena Korean | 1184 | 1380 |
| LMArena Russian | 1265 | 1411 |
| LMArena Spanish | 1260 | 1433 |
Instruction Following Mistral Medium leads
Llama 3.1-405B: 65.9 (#214), Mistral Medium: 73.7 (#116)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1259 | 1398 |
| IFEval | 81.1% | — |
Long Context Mistral Medium leads
Llama 3.1-405B: 38.4 (#197), Mistral Medium: 42.9 (#114)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1266 | 1406 |
Writing & Preference Mistral Medium leads
Llama 3.1-405B: 38.9 (#251), Mistral Medium: 60.0 (#103)
| Benchmark | Llama 3.1-405B | Mistral Medium |
|---|---|---|
| LMArena Text | 1284 | 1424 |
| LMArena Creative Writing | 1262 | 1391 |
| LMArena Multi-Turn | 1297 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
Frequently asked questions
Is Llama 3.1-405B better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.3 to 30.7 on the Noometry Index.
Is Llama 3.1-405B or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and Mistral Medium share?
23 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Mistral Medium has 36.