Model comparison
Llama 3-8B vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.3 to 25.5 on the Noometry Index.
Last verified . 21 shared benchmarks.
Meta
Mistral AISummary
- They share 21 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Mistral Medium in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 37.5.
- The biggest single-benchmark swing is MATH Level 5: 6.1% for Llama 3-8B and 81.6% for Mistral Medium.
Side by side
| Llama 3-8B | Mistral Medium | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 25.5 | 36.3 |
| Released | 2024-04-18 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 34 | 36 |
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Category by category
Coding Mistral Medium leads
Llama 3-8B: 31.0 (#289), Mistral Medium: 34.2 (#243)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Coding | 1152 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| ALE-Bench | — | 763.98 |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3-8B: —, Mistral Medium: 28.3 (#90)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
Llama 3-8B: 14.3 (#326), Mistral Medium: 24.0 (#167)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1426 |
| DTBench | 43.9% | 75.5% |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Mistral Medium leads
Llama 3-8B: 8.8 (#323), Mistral Medium: 28.1 (#245)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 32.2% |
| LMArena Math | 1151 | 1408 |
| MATH Level 5 | 6.1% | 81.6% |
| ProofBench | — | 9% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Mistral Medium leads
Llama 3-8B: 7.8 (#308), Mistral Medium: 25.0 (#265)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| GPQA Diamond | 26.1% | 59.5% |
| LMArena Expert | 1113 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multimodal Not comparable
Llama 3-8B: —, Mistral Medium: 35.3 (#88)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Mistral Medium leads
Llama 3-8B: 30.8 (#261), Mistral Medium: 52.1 (#91)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1098 | 1408 |
| LMArena Chinese | 1076 | 1447 |
| LMArena French | 1159 | 1459 |
| LMArena German | 1104 | 1432 |
| LMArena Japanese | 967 | 1378 |
| LMArena Korean | 1004 | 1380 |
| LMArena Russian | 1109 | 1411 |
| LMArena Spanish | 1173 | 1433 |
Instruction Following Mistral Medium leads
Llama 3-8B: 58.4 (#260), Mistral Medium: 73.7 (#116)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1127 | 1398 |
Long Context Mistral Medium leads
Llama 3-8B: 34.2 (#251), Mistral Medium: 42.9 (#114)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1128 | 1406 |
Writing & Preference Mistral Medium leads
Llama 3-8B: 37.5 (#256), Mistral Medium: 60.0 (#103)
| Benchmark | Llama 3-8B | Mistral Medium |
|---|---|---|
| LMArena Text | 1166 | 1424 |
| LMArena Creative Writing | 1150 | 1391 |
| LMArena Multi-Turn | 1152 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is Llama 3-8B better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.3 to 25.5 on the Noometry Index.
Is Llama 3-8B or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Mistral Medium share?
21 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Mistral Medium has 36.