Model comparison
Grok 4 vs Qwen3-Coder 480B-A35B Instruct
Grok 4 is the stronger model overall, scoring 48.1 to 38.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Grok 4 scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 42.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 73.6% for Grok 4 and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 48.1 | 38.1 |
| Released | 2025-07-09 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 48 | 25 |
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Category by category
Coding Grok 4 leads
Grok 4: 50.3 (#46), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 45.7% | 41.2% |
| LMArena Coding | 1408 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| Aider Polyglot | 79.6% | — |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Grok 4 leads
Grok 4: 32.3 (#68), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | 27.2% | 27.2% |
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 21.1% | — |
| Cybench | 43% | — |
| DeepResearch Bench | 47.3% | — |
| BALROG | 43.6% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 66.6% | — |
Reasoning Grok 4 leads
Grok 4: 36.7 (#65), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 73.6% | 49.5% |
| LMArena Hard Prompts | 1409 | 1372 |
| ARC-AGI-2 | 16% | — |
| SimpleBench | 60.5% | — |
| ARC-AGI-1 | 66.7% | — |
| Chess Puzzles | 28% | — |
| Epoch Capabilities Index | 146.44 | — |
| ForecastBench | 60.9 | — |
Math Grok 4 leads
Grok 4: 48.4 (#64), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1422 | 1365 |
| OTIS Mock AIME 2024-2025 | 84% | — |
| Omni-MATH | 60.3% | — |
| FrontierMath (Feb 2025 set) | 19.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4 leads
Grok 4: 53.8 (#55), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1415 | 1338 |
| GPQA Diamond | 87% | — |
| MMLU-Pro | 85.1% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 72.7% | — |
Multimodal Not comparable
Grok 4: 33.7 (#94), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 45% | — |
Multilingual Grok 4 leads
Grok 4: 51.8 (#103), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1403 | 1346 |
| LMArena Chinese | 1427 | 1357 |
| LMArena French | 1418 | 1398 |
| LMArena German | 1429 | 1325 |
| LMArena Japanese | 1394 | 1310 |
| LMArena Korean | 1377 | 1305 |
| LMArena Russian | 1410 | 1366 |
| LMArena Spanish | 1420 | 1360 |
Instruction Following Grok 4 leads
Grok 4: 79.2 (#5), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1387 | 1355 |
| IFEval | 94.9% | — |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1409 | 1378 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Grok 4 leads
Grok 4: 58.5 (#116), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Grok 4 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1411 | 1357 |
| LMArena Creative Writing | 1397 | 1333 |
| LMArena Multi-Turn | 1416 | 1365 |
| Short-Story Creative Writing | 76.9% | — |
| WildBench | 79.7% | — |
Frequently asked questions
Is Grok 4 better than Qwen3-Coder 480B-A35B Instruct?
Grok 4 is the stronger model overall, scoring 48.1 to 38.1 on the Noometry Index.
Is Grok 4 or Qwen3-Coder 480B-A35B Instruct better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 35.5 in the Noometry coding category.
How many benchmarks do Grok 4 and Qwen3-Coder 480B-A35B Instruct share?
20 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.