Model comparison
Llama 3-8B vs Magistral Medium
Magistral Medium is the stronger model overall, scoring 35.2 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 1 category and Magistral Medium in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Magistral Medium leads 35.1 to 8.8.
Side by side
| Llama 3-8B | Magistral Medium | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 25.5 | 35.2 |
| Released | 2024-04-18 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $5 |
| Results tracked | 34 | 22 |
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Category by category
Coding Magistral Medium leads
Llama 3-8B: 31.0 (#289), Magistral Medium: 39.1 (#161)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Coding | 1152 | 1319 |
| SciCode | — | 39.2% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Llama 3-8B leads
Llama 3-8B: 14.3 (#326), Magistral Medium: 8.6 (#348)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Magistral Medium leads
Llama 3-8B: 8.8 (#323), Magistral Medium: 35.1 (#189)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Math | 1151 | 1250 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Magistral Medium leads
Llama 3-8B: 7.8 (#308), Magistral Medium: 33.5 (#202)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Expert | 1113 | 1223 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Magistral Medium leads
Llama 3-8B: 30.8 (#261), Magistral Medium: 39.6 (#224)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1098 | 1232 |
| LMArena Chinese | 1076 | 1227 |
| LMArena French | 1159 | 1267 |
| LMArena German | 1104 | 1248 |
| LMArena Japanese | 967 | 1175 |
| LMArena Korean | 1004 | 1125 |
| LMArena Russian | 1109 | 1224 |
| LMArena Spanish | 1173 | 1271 |
Instruction Following Magistral Medium leads
Llama 3-8B: 58.4 (#260), Magistral Medium: 66.0 (#211)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1127 | 1254 |
Long Context Magistral Medium leads
Llama 3-8B: 34.2 (#251), Magistral Medium: 39.3 (#183)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1128 | 1295 |
Writing & Preference Magistral Medium leads
Llama 3-8B: 37.5 (#256), Magistral Medium: 46.3 (#219)
| Benchmark | Llama 3-8B | Magistral Medium |
|---|---|---|
| LMArena Text | 1166 | 1255 |
| LMArena Creative Writing | 1150 | 1245 |
| LMArena Multi-Turn | 1152 | 1275 |
Frequently asked questions
Is Llama 3-8B better than Magistral Medium?
Magistral Medium is the stronger model overall, scoring 35.2 to 25.5 on the Noometry Index.
Is Llama 3-8B or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 39.1 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Magistral Medium share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Magistral Medium has 22.