Model comparison
Grok 4 vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 48.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok 4 scores higher in 3 categories and Qwen3.7 Max in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 45.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84% for Grok 4 and 95.6% for Qwen3.7 Max.
Side by side
| Grok 4 | Qwen3.7 Max | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 48.1 | 51.5 |
| Released | 2025-07-09 | 2026-05-19 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 48 | 33 |
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Category by category
Coding Too close to call
Grok 4: 50.3 (#46), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1408 | 1498 |
| SWE-bench Verified | — | 77.3% |
| Aider Polyglot | 79.6% | — |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| WeirdML | 45.7% | — |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Grok 4 leads
Grok 4: 32.3 (#68), Qwen3.7 Max: 22.1 (#135)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| Terminal-Bench | 27.2% | — |
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 21.1% | — |
| Cybench | 43% | — |
| DeepResearch Bench | 47.3% | — |
| BALROG | 43.6% | — |
| GBAEval | — | 0.4% |
| LMArena Search | 1142 | — |
| METR Time Horizons | 66.6% | — |
Reasoning Qwen3.7 Max leads
Grok 4: 36.7 (#65), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| SimpleBench | 60.5% | 70.4% |
| Chess Puzzles | 28% | 19% |
| LMArena Hard Prompts | 1409 | 1483 |
| Epoch Capabilities Index | 146.44 | 153.68 |
| ARC-AGI-2 | 16% | — |
| Kagi LLM Benchmark | 73.6% | — |
| NYT Connections (extended) | — | 85.1% |
| ARC-AGI-1 | 66.7% | — |
| CritPt | — | 13.4% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| ForecastBench | 60.9 | — |
Math Qwen3.7 Max leads
Grok 4: 48.4 (#64), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84% | 95.6% |
| LMArena Math | 1422 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| ProofBench | — | 26% |
| Omni-MATH | 60.3% | — |
| FrontierMath (Feb 2025 set) | 19.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Qwen3.7 Max leads
Grok 4: 53.8 (#55), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 87% | 90.9% |
| LMArena Expert | 1415 | 1488 |
| SimpleQA Verified | — | 55.8% |
| MMLU-Pro | 85.1% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 72.7% | — |
Multimodal Not comparable
Grok 4: 33.7 (#94), Qwen3.7 Max: —
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 45% | — |
Multilingual Qwen3.7 Max leads
Grok 4: 51.8 (#103), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1403 | 1474 |
| LMArena Chinese | 1427 | 1530 |
| LMArena Russian | 1410 | 1484 |
| LMArena French | 1418 | — |
| LMArena German | 1429 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1377 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Grok 4 leads
Grok 4: 79.2 (#5), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1387 | 1460 |
| IFEval | 94.9% | — |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), Qwen3.7 Max: 45.4 (#40)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1409 | 1482 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Qwen3.7 Max leads
Grok 4: 58.5 (#116), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Grok 4 | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1411 | 1476 |
| LMArena Creative Writing | 1397 | 1449 |
| LMArena Multi-Turn | 1416 | 1481 |
| Short-Story Creative Writing | 76.9% | — |
| WildBench | 79.7% | — |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Grok 4 better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 48.1 on the Noometry Index.
Is Grok 4 or Qwen3.7 Max better for coding?
They score almost the same on coding (50.3 vs 50.4); test both on your own repository before choosing.
How many benchmarks do Grok 4 and Qwen3.7 Max share?
17 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Qwen3.7 Max has 33.