Model comparison
Mixtral 8x22B vs Qwen3-1.7B
Mixtral 8x22B and Qwen3-1.7B score almost the same on the Noometry Index (27.1 vs 26.6), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mixtral 8x22B scores higher in 2 categories and Qwen3-1.7B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Mixtral 8x22B leads 22.9 to 16.3.
Side by side
| Mixtral 8x22B | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 26.6 |
| 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 | 4 |
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Category by category
Coding Not comparable
Mixtral 8x22B: 24.2 (#329), Qwen3-1.7B: —
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |
Agentic & Tool Use Qwen3-1.7B leads
Mixtral 8x22B: 23.1 (#127), Qwen3-1.7B: 24.7 (#115)
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
| Cybench | 7.5% | — |
Reasoning Too close to call
Mixtral 8x22B: 19.9 (#248), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1150 | — |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122.03 | — |
| ForecastBench | 56.3 | — |
Math Mixtral 8x22B leads
Mixtral 8x22B: 22.9 (#275), Qwen3-1.7B: 16.3 (#294)
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |
Knowledge Qwen3-1.7B leads
Mixtral 8x22B: 15.1 (#293), Qwen3-1.7B: 19.6 (#278)
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 34.1% | 38% |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| LMArena Expert | 1113 | — |
| MMLU | 77.8% | — |
Multilingual Not comparable
Mixtral 8x22B: 32.8 (#255), Qwen3-1.7B: —
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| 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), Qwen3-1.7B: —
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| IFEval | 72.4% | — |
| LMArena Instruction Following | 1147 | — |
Long Context Not comparable
Mixtral 8x22B: 34.7 (#247), Qwen3-1.7B: —
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1144 | — |
Writing & Preference Not comparable
Mixtral 8x22B: 36.9 (#262), Qwen3-1.7B: —
| Benchmark | Mixtral 8x22B | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1162 | — |
| LMArena Creative Writing | 1141 | — |
| WildBench | 71.1% | — |
| LMArena Multi-Turn | 1130 | — |
Frequently asked questions
Is Mixtral 8x22B better than Qwen3-1.7B?
Mixtral 8x22B and Qwen3-1.7B score almost the same on the Noometry Index (27.1 vs 26.6), so choose on price, context window or the category you care about most.
How many benchmarks do Mixtral 8x22B and Qwen3-1.7B share?
1 benchmark has published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3-1.7B has 4.