Model comparison
Mercury vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.4 to 37.3 on the Noometry Index.
Last verified . 8 shared benchmarks.
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Mercury scores higher in 1 category and QwQ-32B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where QwQ-32B leads 49.0 to 38.3.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| Mercury | QwQ-32B | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.3 | 39.4 |
| Released | — | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 36 |
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Category by category
Coding Mercury leads
Mercury: 38.1 (#164), QwQ-32B: 34.9 (#220)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| LMArena Coding | 1323 | 1333 |
| Aider Polyglot | — | 20.9% |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
Reasoning QwQ-32B leads
Mercury: 16.8 (#288), QwQ-32B: 22.9 (#171)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1326 |
| Kagi LLM Benchmark | 21.6% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LiveBench Data Analysis | — | 65% |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Not comparable
Mercury: —, QwQ-32B: 36.2 (#123)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
| LMArena Math | — | 1359 |
Knowledge Not comparable
Mercury: —, QwQ-32B: 37.2 (#150)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1323 |
Multilingual QwQ-32B leads
Mercury: 41.7 (#201), QwQ-32B: 45.0 (#171)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1259 | 1306 |
| LMArena Chinese | — | 1378 |
| LMArena French | — | 1337 |
| LMArena German | — | 1313 |
| LMArena Japanese | — | 1263 |
| LMArena Korean | — | 1278 |
| LMArena Russian | — | 1297 |
| LMArena Spanish | — | 1353 |
Instruction Following QwQ-32B leads
Mercury: 65.3 (#220), QwQ-32B: 72.8 (#131)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1238 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Mercury: 38.3 (#193), QwQ-32B: 49.0 (#11)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1264 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference QwQ-32B leads
Mercury: 46.2 (#216), QwQ-32B: 50.9 (#175)
| Benchmark | Mercury | QwQ-32B |
|---|---|---|
| LMArena Text | 1282 | 1329 |
| LMArena Creative Writing | 1186 | 1288 |
| LMArena Multi-Turn | 1283 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Mercury better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.4 to 37.3 on the Noometry Index.
Is Mercury or QwQ-32B better for coding?
Mercury scores higher on coding benchmarks: 38.1 versus 34.9 in the Noometry coding category.
How many benchmarks do Mercury and QwQ-32B share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and QwQ-32B has 36.