Model comparison
Mixtral 8x22B vs Qwen3-4B
Qwen3-4B is the stronger model overall, scoring 31.9 to 27.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mixtral 8x22B scores higher in 1 category and Qwen3-4B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-4B leads 33.0 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 52.3% for Qwen3-4B.
Side by side
| Mixtral 8x22B | Qwen3-4B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 31.9 |
| Released | 2024-04-17 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 64K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 34 | 6 |
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Category by category
Coding Not comparable
Mixtral 8x22B: 24.2 (#329), Qwen3-4B: —
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |
Agentic & Tool Use Qwen3-4B leads
Mixtral 8x22B: 23.1 (#127), Qwen3-4B: 27.6 (#100)
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| Cybench | 7.5% | — |
Reasoning Too close to call
Mixtral 8x22B: 19.9 (#248), Qwen3-4B: 19.2 (#268)
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1150 | — |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122.03 | — |
| ForecastBench | 56.3 | — |
Math Qwen3-4B leads
Mixtral 8x22B: 22.9 (#275), Qwen3-4B: 29.7 (#240)
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |
Knowledge Qwen3-4B leads
Mixtral 8x22B: 15.1 (#293), Qwen3-4B: 33.0 (#208)
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | 34.1% | 52.3% |
| MMLU-Pro | 46% | — |
| Vectara Hallucination Rate | — | 5.7% |
| GPQA (HELM) | 33.4% | — |
| LMArena Expert | 1113 | — |
| MMLU | 77.8% | — |
Multilingual Not comparable
Mixtral 8x22B: 32.8 (#255), Qwen3-4B: —
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1128 | — |
| LMArena Chinese | 1116 | — |
| LMArena French | 1166 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1057 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1151 | — |
Instruction Following Not comparable
Mixtral 8x22B: 57.7 (#266), Qwen3-4B: —
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| IFEval | 72.4% | — |
| LMArena Instruction Following | 1147 | — |
Long Context Not comparable
Mixtral 8x22B: 34.7 (#247), Qwen3-4B: —
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1144 | — |
Writing & Preference Not comparable
Mixtral 8x22B: 36.9 (#262), Qwen3-4B: —
| Benchmark | Mixtral 8x22B | Qwen3-4B |
|---|---|---|
| LMArena Text | 1162 | — |
| LMArena Creative Writing | 1141 | — |
| WildBench | 71.1% | — |
| LMArena Multi-Turn | 1130 | — |
Frequently asked questions
Is Mixtral 8x22B better than Qwen3-4B?
Qwen3-4B is the stronger model overall, scoring 31.9 to 27.1 on the Noometry Index.
How many benchmarks do Mixtral 8x22B and Qwen3-4B share?
1 benchmark has published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3-4B has 6.