Model comparison
Mistral Large vs Qwen3 8B
Qwen3 8B is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.
Last verified . 9 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Mistral Large scores higher in 2 categories and Qwen3 8B in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 8B leads 34.9 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Mistral Large and 56.1% for Qwen3 8B.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $2 / $6 for Mistral Large.
Side by side
| Mistral Large | Qwen3 8B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.9 | 33.7 |
| Released | 2024-02-26 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 16K | 8K |
| Input $ / M tokens | $2 | $0.18 |
| Output $ / M tokens | $6 | $0.70 |
| Results tracked | 51 | 11 |
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Category by category
Coding Too close to call
Mistral Large: 34.3 (#240), Qwen3 8B: 34.0 (#248)
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| SciCode | 36.2% | 22.6% |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Qwen3 8B leads
Mistral Large: 28.6 (#89), Qwen3 8B: 30.2 (#78)
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | 42.6% |
Reasoning Too close to call
Mistral Large: 15.8 (#310), Qwen3 8B: 16.6 (#303)
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| CritPt | 0% | 0% |
| DTBench | 65.1% | 59.7% |
| LMCA | 16.7% | 8.8% |
| Epoch Capabilities Index | 128.52 | 136.17 |
| SimpleBench | 22.5% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| LiveBench Data Analysis | 50.1% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Qwen3 8B leads
Mistral Large: 18.2 (#291), Qwen3 8B: 34.9 (#191)
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 56.1% |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3 8B leads
Mistral Large: 30.1 (#230), Qwen3 8B: 36.1 (#173)
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| GPQA Diamond | 51.3% | 56.8% |
| Vectara Hallucination Rate | 4.5% | 4.8% |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| MMLU | 80% | — |
Multilingual Not comparable
Mistral Large: 40.0 (#219), Qwen3 8B: —
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), Qwen3 8B: —
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Too close to call
Mistral Large: 38.3 (#199), Qwen3 8B: 37.9 (#210)
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1261 | — |
Writing & Preference Not comparable
Mistral Large: 40.7 (#242), Qwen3 8B: —
| Benchmark | Mistral Large | Qwen3 8B |
|---|---|---|
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Qwen3 8B?
Qwen3 8B is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.
Which is cheaper, Mistral Large or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; Mistral Large lists at $2 and $6.
Is Mistral Large or Qwen3 8B better for coding?
They score almost the same on coding (34.3 vs 34.0); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Mistral Large and Qwen3 8B share?
9 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen3 8B has 11.