Model comparison
Grok-2 (Dec 2024) vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 33.7 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and QwQ-32B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where QwQ-32B leads 38.0 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 11.5% for Grok-2 (Dec 2024) and 59.2% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | QwQ-32B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | 39.8 |
| Released | 2024-08-13 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 36 |
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Category by category
Coding QwQ-32B leads
Grok-2 (Dec 2024): 33.3 (#258), QwQ-32B: 35.4 (#226)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| LiveBench Coding | 46.4% | 72.2% |
| LMArena Coding | 1287 | 1333 |
| Aider Polyglot | — | 20.9% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | — | 44.6% |
| BigCodeBench Complete | — | 54.4% |
Reasoning QwQ-32B leads
Grok-2 (Dec 2024): 16.9 (#299), QwQ-32B: 23.7 (#174)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| LiveBench Reasoning | 54.8% | 83.5% |
| LMArena Hard Prompts | 1272 | 1325 |
| LiveBench Data Analysis | 54.5% | 65% |
| Epoch Capabilities Index | 130.48 | 137.6 |
| LiveBench | 54.3% | 72% |
| SimpleBench | 22.7% | — |
| Chess Puzzles | — | 5% |
| DTBench | 65.2% | — |
| ForecastBench | — | 58.3 |
Math QwQ-32B leads
Grok-2 (Dec 2024): 20.8 (#284), QwQ-32B: 38.0 (#143)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | 59.2% |
| LiveBench Math | 54.9% | 77.8% |
| LMArena Math | 1283 | 1359 |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge QwQ-32B leads
Grok-2 (Dec 2024): 29.8 (#233), QwQ-32B: 37.2 (#158)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| GPQA Diamond | 53.8% | 65.3% |
| Confabulations | 20.1% | 15.6% |
| LMArena Expert | 1254 | 1324 |
Multilingual QwQ-32B leads
Grok-2 (Dec 2024): 43.1 (#188), QwQ-32B: 44.8 (#176)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1282 | 1305 |
| LMArena Chinese | 1289 | 1378 |
| LMArena French | 1318 | 1336 |
| LMArena German | 1287 | 1313 |
| LMArena Japanese | 1244 | 1262 |
| LMArena Korean | 1237 | 1279 |
| LMArena Russian | 1286 | 1297 |
| LMArena Spanish | 1281 | 1354 |
Instruction Following QwQ-32B leads
Grok-2 (Dec 2024): 66.9 (#202), QwQ-32B: 72.6 (#137)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | 69.6% | 81.8% |
| LMArena Instruction Following | 1270 | 1297 |
Long Context QwQ-32B leads
Grok-2 (Dec 2024): 38.8 (#190), QwQ-32B: 49.0 (#11)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1276 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference QwQ-32B leads
Grok-2 (Dec 2024): 48.6 (#198), QwQ-32B: 50.6 (#180)
| Benchmark | Grok-2 (Dec 2024) | QwQ-32B |
|---|---|---|
| LMArena Text | 1305 | 1329 |
| LMArena Creative Writing | 1284 | 1288 |
| Short-Story Creative Writing | 63.6% | 80.2% |
| LMArena Multi-Turn | 1290 | 1314 |
| LiveBench Language | 45.6% | 51.4% |
| EQ-Bench Creative Writing | — | 1257 |
Frequently asked questions
Is Grok-2 (Dec 2024) better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 33.7 on the Noometry Index.
Is Grok-2 (Dec 2024) or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 33.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and QwQ-32B share?
29 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and QwQ-32B has 36.