Model comparison
Llama 3-8B vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 25.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Mistral AISummary
- They share 12 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 8.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Mistral Large 4 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 25.5 | 43.1 |
| Released | 2024-04-18 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.68 |
| Output $ / M tokens | — | $2.09 |
| Results tracked | 34 | 15 |
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Category by category
Coding Mistral Large 4 leads
Llama 3-8B: 31.0 (#289), Mistral Large 4: 48.6 (#57)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1152 | 1475 |
| LMArena WebDev | — | 1541 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Mistral Large 4 leads
Llama 3-8B: 14.3 (#326), Mistral Large 4: 22.5 (#192)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Mistral Large 4 leads
Llama 3-8B: 8.8 (#323), Mistral Large 4: 40.4 (#91)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1151 | 1488 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Mistral Large 4 leads
Llama 3-8B: 7.8 (#308), Mistral Large 4: 36.6 (#166)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1113 | 1447 |
| GPQA Diamond | 26.1% | — |
| SimpleQA Verified | — | 20% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Mistral Large 4 leads
Llama 3-8B: 30.8 (#261), Mistral Large 4: 52.6 (#82)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1098 | 1415 |
| LMArena Chinese | 1076 | 1491 |
| LMArena Russian | 1109 | 1414 |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Mistral Large 4 leads
Llama 3-8B: 58.4 (#260), Mistral Large 4: 75.0 (#76)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1127 | 1424 |
Long Context Mistral Large 4 leads
Llama 3-8B: 34.2 (#251), Mistral Large 4: 43.6 (#89)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1128 | 1429 |
Writing & Preference Mistral Large 4 leads
Llama 3-8B: 37.5 (#256), Mistral Large 4: 60.4 (#97)
| Benchmark | Llama 3-8B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1166 | 1427 |
| LMArena Creative Writing | 1150 | 1361 |
| LMArena Multi-Turn | 1152 | 1424 |
Frequently asked questions
Is Llama 3-8B better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 25.5 on the Noometry Index.
Is Llama 3-8B or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Mistral Large 4 share?
12 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Mistral Large 4 has 15.