Model comparison
Mistral vs Qwen3 8B
Qwen3 8B is the stronger model overall, scoring 33.7 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3 8B leads 36.1 to 16.6.
- Qwen3 8B has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen3 8B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 33.7 |
| Released | — | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 22 | 11 |
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Category by category
Coding Too close to call
Mistral: 33.8 (#250), Qwen3 8B: 34.0 (#248)
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| LMArena Coding | 1162 | — |
Agentic & Tool Use Not comparable
Mistral: —, Qwen3 8B: 30.2 (#78)
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning Mistral leads
Mistral: 22.2 (#200), Qwen3 8B: 16.6 (#303)
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | 1149 | — |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math Qwen3 8B leads
Mistral: 22.3 (#278), Qwen3 8B: 34.9 (#191)
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
Knowledge Qwen3 8B leads
Mistral: 16.6 (#288), Qwen3 8B: 36.1 (#173)
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| MMLU-Pro | 27.7% | — |
| Vectara Hallucination Rate | — | 4.8% |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
Multilingual Not comparable
Mistral: 32.8 (#254), Qwen3 8B: —
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), Qwen3 8B: —
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context Qwen3 8B leads
Mistral: 35.0 (#245), Qwen3 8B: 37.9 (#210)
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1153 | — |
Writing & Preference Not comparable
Mistral: 37.0 (#260), Qwen3 8B: —
| Benchmark | Mistral | Qwen3 8B |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than Qwen3 8B?
Qwen3 8B is the stronger model overall, scoring 33.7 to 29.9 on the Noometry Index.
Is Mistral or Qwen3 8B better for coding?
They score almost the same on coding (33.8 vs 34.0); test both on your own repository before choosing.
How many benchmarks do Mistral and Qwen3 8B share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3 8B has 11.