Model comparison
Grok 4 vs Qwen3 235B-A22B
Grok 4 is the stronger model overall, scoring 48.1 to 43.5 on the Noometry Index.
Last verified . 39 shared benchmarks.
Summary
- They share 39 benchmarks with published results for both. Grok 4 scores higher in 5 categories and Qwen3 235B-A22B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4 leads 36.7 to 15.7.
- The biggest single-benchmark swing is ARC-AGI-1: 66.7% for Grok 4 and 11% for Qwen3 235B-A22B.
- Qwen3 235B-A22B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 | Qwen3 235B-A22B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 48.1 | 43.5 |
| Released | 2025-07-09 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 48 | 49 |
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Category by category
Coding Grok 4 leads
Grok 4: 50.3 (#46), Qwen3 235B-A22B: 44.3 (#75)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| Aider Polyglot | 79.6% | 59.6% |
| WeirdML | 45.7% | 41% |
| LMArena Coding | 1408 | 1445 |
| SciCode | — | 42.4% |
Agentic & Tool Use Qwen3 235B-A22B leads
Grok 4: 32.3 (#68), Qwen3 235B-A22B: 33.9 (#51)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | 52.1% |
| Terminal-Bench | 27.2% | — |
| GDPval | 21.1% | — |
| Cybench | 43% | — |
| DeepResearch Bench | 47.3% | — |
| BALROG | 43.6% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 66.6% | — |
| Vending-Bench 2 | — | -11.34 |
Reasoning Grok 4 leads
Grok 4: 36.7 (#65), Qwen3 235B-A22B: 15.7 (#311)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| ARC-AGI-2 | 16% | 1.3% |
| SimpleBench | 60.5% | 31% |
| Kagi LLM Benchmark | 73.6% | 69.4% |
| ARC-AGI-1 | 66.7% | 11% |
| Chess Puzzles | 28% | 12% |
| LMArena Hard Prompts | 1409 | 1433 |
| Epoch Capabilities Index | 146.44 | 143.85 |
| ForecastBench | 60.9 | 59.7 |
| CritPt | — | 0% |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 80.3% |
| LMCA | — | 29.3% |
Math Qwen3 235B-A22B leads
Grok 4: 48.4 (#64), Qwen3 235B-A22B: 50.4 (#57)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84% | 86.7% |
| Omni-MATH | 60.3% | 71.8% |
| LMArena Math | 1422 | 1432 |
| FrontierMath (Feb 2025 set) | 19.7% | 8.5% |
| FrontierMath Tier 4 (v1) | 2.1% | 0% |
| MATH Level 5 | — | 68.9% |
Knowledge Grok 4 leads
Grok 4: 53.8 (#55), Qwen3 235B-A22B: 49.6 (#73)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | 87% | 80.1% |
| MMLU-Pro | 85.1% | 84.4% |
| Confabulations | 12.4% | 15.6% |
| GPQA (HELM) | 72.7% | 72.7% |
| LMArena Expert | 1415 | 1463 |
| SimpleQA Verified | — | 40.4% |
| Vectara Hallucination Rate | — | 9.3% |
Multimodal Not comparable
Grok 4: 33.7 (#94), Qwen3 235B-A22B: —
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 45% | — |
Multilingual Too close to call
Grok 4: 51.8 (#103), Qwen3 235B-A22B: 52.3 (#89)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 1403 | 1409 |
| LMArena Chinese | 1427 | 1481 |
| LMArena French | 1418 | 1445 |
| LMArena German | 1429 | 1433 |
| LMArena Japanese | 1394 | 1399 |
| LMArena Korean | 1377 | 1391 |
| LMArena Russian | 1410 | 1411 |
| LMArena Spanish | 1420 | 1430 |
Instruction Following Grok 4 leads
Grok 4: 79.2 (#5), Qwen3 235B-A22B: 72.6 (#136)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| IFEval | 94.9% | 83.5% |
| LMArena Instruction Following | 1387 | 1408 |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), Qwen3 235B-A22B: 46.1 (#26)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| Fiction.LiveBench | 94.4% | 75% |
| LMArena Longer Query | 1409 | 1426 |
Writing & Preference Qwen3 235B-A22B leads
Grok 4: 58.5 (#116), Qwen3 235B-A22B: 59.6 (#108)
| Benchmark | Grok 4 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 1411 | 1419 |
| LMArena Creative Writing | 1397 | 1384 |
| Short-Story Creative Writing | 76.9% | 83% |
| WildBench | 79.7% | 86.6% |
| LMArena Multi-Turn | 1416 | 1432 |
| EQ-Bench Creative Writing | — | 1366 |
Frequently asked questions
Is Grok 4 better than Qwen3 235B-A22B?
Grok 4 is the stronger model overall, scoring 48.1 to 43.5 on the Noometry Index.
Is Grok 4 or Qwen3 235B-A22B better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 44.3 in the Noometry coding category.
How many benchmarks do Grok 4 and Qwen3 235B-A22B share?
39 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Qwen3 235B-A22B has 49.