Model comparison
Grok 4.5 vs QwQ-32B
Grok 4.5 is the stronger model overall, scoring 55.0 to 39.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Grok 4.5 scores higher in 7 categories and QwQ-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 23.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Grok 4.5 and 59.2% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | QwQ-32B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 55.0 | 39.8 |
| Released | 2026-07-08 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 52 | 36 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 52.2 (#35), QwQ-32B: 35.4 (#226)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| LMArena Coding | 1474 | 1333 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1553 | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#17), QwQ-32B: —
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| APEX-Agents | 56.2% | — |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| GBAEval | 65.4% | — |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
| Vending-Bench 2 | 3,887 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), QwQ-32B: 23.7 (#174)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| Chess Puzzles | 36% | 5% |
| LMArena Hard Prompts | 1462 | 1325 |
| Epoch Capabilities Index | 153.92 | 137.6 |
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| Kagi LLM Benchmark | 83.5% | — |
| NYT Connections (extended) | 79.9% | — |
| ARC-AGI-1 | 87.2% | — |
| CritPt | 15.4% | — |
| LiveBench Reasoning | — | 83.5% |
| DTBench | 96.5% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Grok 4.5 leads
Grok 4.5: 60.9 (#35), QwQ-32B: 38.0 (#143)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.8% | 59.2% |
| LMArena Math | 1459 | 1359 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| ProofBench | 31% | — |
| LiveBench Math | — | 77.8% |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#24), QwQ-32B: 37.2 (#158)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| GPQA Diamond | 93.4% | 65.3% |
| LMArena Expert | 1466 | 1324 |
| SimpleQA Verified | 48.3% | — |
| Confabulations | — | 15.6% |
Multimodal Not comparable
Grok 4.5: 37.6 (#72), QwQ-32B: —
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| LMArena Vision | 1288 | — |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.5 leads
Grok 4.5: 54.4 (#42), QwQ-32B: 44.8 (#176)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1440 | 1305 |
| LMArena Chinese | 1496 | 1378 |
| LMArena French | 1456 | 1336 |
| LMArena German | 1446 | 1313 |
| LMArena Japanese | 1428 | 1262 |
| LMArena Korean | 1404 | 1279 |
| LMArena Russian | 1448 | 1297 |
| LMArena Spanish | 1450 | 1354 |
Instruction Following Grok 4.5 leads
Grok 4.5: 76.0 (#48), QwQ-32B: 72.6 (#137)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1446 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Grok 4.5: 44.8 (#56), QwQ-32B: 49.0 (#11)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1463 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), QwQ-32B: 50.6 (#180)
| Benchmark | Grok 4.5 | QwQ-32B |
|---|---|---|
| LMArena Text | 1448 | 1329 |
| LMArena Creative Writing | 1442 | 1288 |
| EQ-Bench Creative Writing | 1579 | 1257 |
| LMArena Multi-Turn | 1456 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Grok 4.5 better than QwQ-32B?
Grok 4.5 is the stronger model overall, scoring 55.0 to 39.8 on the Noometry Index.
Is Grok 4.5 or QwQ-32B better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 35.4 in the Noometry coding category.
How many benchmarks do Grok 4.5 and QwQ-32B share?
22 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and QwQ-32B has 36.