Model comparison
Llama 3-8B vs Mistral Small 3.2
Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 25.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Mistral AISummary
- They share 4 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Mistral Small 3.2 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3.2 leads 26.7 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 30.3% for Mistral Small 3.2.
Side by side
| Llama 3-8B | Mistral Small 3.2 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 25.5 | 31.2 |
| Released | 2024-04-18 | 2025-06-20 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.0938 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 34 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Llama 3-8B: 31.0 (#289), Mistral Small 3.2: —
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| BigCodeBench Instruct | 31.9% | — |
| LMArena Coding | 1152 | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Mistral Small 3.2 leads
Llama 3-8B: 14.3 (#326), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Epoch Capabilities Index | 116.45 | 131.74 |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1133 | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Mistral Small 3.2 leads
Llama 3-8B: 8.8 (#323), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 30.3% |
| LMArena Math | 1151 | — |
| MATH Level 5 | 6.1% | — |
Knowledge Mistral Small 3.2 leads
Llama 3-8B: 7.8 (#308), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 26.1% | 49.1% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Not comparable
Llama 3-8B: 30.8 (#261), Mistral Small 3.2: —
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Not comparable
Llama 3-8B: 58.4 (#260), Mistral Small 3.2: —
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1127 | — |
Long Context Not comparable
Llama 3-8B: 34.2 (#251), Mistral Small 3.2: —
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1128 | — |
Writing & Preference Mistral Small 3.2 leads
Llama 3-8B: 37.5 (#256), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Llama 3-8B | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1152 | — |
Frequently asked questions
Is Llama 3-8B better than Mistral Small 3.2?
Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 25.5 on the Noometry Index.
How many benchmarks do Llama 3-8B and Mistral Small 3.2 share?
4 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Mistral Small 3.2 has 6.