Model comparison
Mixtral 8x22B vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 27.1 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and QwQ-32B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where QwQ-32B leads 37.2 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 65.3% for QwQ-32B.
Side by side
| Mixtral 8x22B | QwQ-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 39.8 |
| Released | 2024-04-17 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 64K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 34 | 36 |
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Category by category
Coding QwQ-32B leads
Mixtral 8x22B: 24.2 (#329), QwQ-32B: 35.4 (#226)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| BigCodeBench Instruct | 40.6% | 44.6% |
| LMArena Coding | 1166 | 1333 |
| BigCodeBench Complete | 50.2% | 54.4% |
| Aider Polyglot | — | 20.9% |
| WeirdML | 3.2% | — |
| LiveBench Coding | — | 72.2% |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |
Agentic & Tool Use Not comparable
Mixtral 8x22B: 23.1 (#127), QwQ-32B: —
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| Cybench | 7.5% | — |
Reasoning QwQ-32B leads
Mixtral 8x22B: 19.9 (#248), QwQ-32B: 23.7 (#174)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1325 |
| Epoch Capabilities Index | 122.03 | 137.6 |
| ForecastBench | 56.3 | 58.3 |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| DTBench | 55.1% | — |
| LiveBench Data Analysis | — | 65% |
| LiveBench | — | 72% |
Math QwQ-32B leads
Mixtral 8x22B: 22.9 (#275), QwQ-32B: 38.0 (#143)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| LMArena Math | 1184 | 1359 |
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| Omni-MATH | 16.3% | — |
| LiveBench Math | — | 77.8% |
| MATH Level 5 | 24.2% | — |
Knowledge QwQ-32B leads
Mixtral 8x22B: 15.1 (#293), QwQ-32B: 37.2 (#158)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| GPQA Diamond | 34.1% | 65.3% |
| LMArena Expert | 1113 | 1324 |
| MMLU-Pro | 46% | — |
| Confabulations | — | 15.6% |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |
Multilingual QwQ-32B leads
Mixtral 8x22B: 32.8 (#255), QwQ-32B: 44.8 (#176)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1128 | 1305 |
| LMArena Chinese | 1116 | 1378 |
| LMArena French | 1166 | 1336 |
| LMArena German | 1141 | 1313 |
| LMArena Japanese | 1037 | 1262 |
| LMArena Korean | 1057 | 1279 |
| LMArena Russian | 1158 | 1297 |
| LMArena Spanish | 1151 | 1354 |
Instruction Following QwQ-32B leads
Mixtral 8x22B: 57.7 (#266), QwQ-32B: 72.6 (#137)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1147 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
| IFEval | 72.4% | — |
Long Context QwQ-32B leads
Mixtral 8x22B: 34.7 (#247), QwQ-32B: 49.0 (#11)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1144 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference QwQ-32B leads
Mixtral 8x22B: 36.9 (#262), QwQ-32B: 50.6 (#180)
| Benchmark | Mixtral 8x22B | QwQ-32B |
|---|---|---|
| LMArena Text | 1162 | 1329 |
| LMArena Creative Writing | 1141 | 1288 |
| LMArena Multi-Turn | 1130 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| WildBench | 71.1% | — |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Mixtral 8x22B better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 27.1 on the Noometry Index.
Is Mixtral 8x22B or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 24.2 in the Noometry coding category.
How many benchmarks do Mixtral 8x22B and QwQ-32B share?
22 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and QwQ-32B has 36.