Model comparison
Grok 3 vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 39.6 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Grok 3 scores higher in 2 categories and Qwen3.6 27B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.6 27B leads 47.5 to 36.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 55.6% for Grok 3 and 91.1% for Qwen3.6 27B.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Grok 3 | Qwen3.6 27B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.6 | 41.9 |
| Released | 2025-04-09 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 40 | 11 |
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Category by category
Coding Grok 3 leads
Grok 3: 41.5 (#113), Qwen3.6 27B: 38.5 (#162)
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| Aider Polyglot | 53.3% | — |
| SciCode | — | 37.3% |
| WeirdML | 37.2% | — |
| LMArena Coding | 1432 | — |
Agentic & Tool Use Not comparable
Grok 3: 30.2 (#69), Qwen3.6 27B: —
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| BALROG | 29.5% | — |
Reasoning Qwen3.6 27B leads
Grok 3: 13.8 (#322), Qwen3.6 27B: 24.4 (#148)
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| Epoch Capabilities Index | 138.34 | 146.47 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 36.1% | — |
| Kagi LLM Benchmark | 61.3% | — |
| ARC-AGI-1 | 5.5% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1433 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
Math Qwen3.6 27B leads
Grok 3: 36.2 (#122), Qwen3.6 27B: 47.5 (#56)
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | 91.1% |
| FrontierMath (Tiers 1-3) | — | 35.1% |
| Omni-MATH | 46.4% | — |
| LMArena Math | 1390 | — |
| MATH Level 5 | 88.7% | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Qwen3.6 27B leads
Grok 3: 46.0 (#76), Qwen3.6 27B: 52.4 (#58)
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 75.8% | 85.9% |
| MMLU-Pro | 78.8% | — |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 5.8% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1420 | — |
Multilingual Not comparable
Grok 3: 52.5 (#81), Qwen3.6 27B: —
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1411 | — |
| LMArena Chinese | 1448 | — |
| LMArena French | 1460 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1389 | — |
| LMArena Korean | 1374 | — |
| LMArena Russian | 1416 | — |
| LMArena Spanish | 1417 | — |
Instruction Following Not comparable
Grok 3: 75.2 (#69), Qwen3.6 27B: —
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| IFEval | 88.4% | — |
| LMArena Instruction Following | 1409 | — |
Long Context Not comparable
Grok 3: 38.7 (#187), Qwen3.6 27B: —
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1439 | — |
Writing & Preference Grok 3 leads
Grok 3: 56.0 (#136), Qwen3.6 27B: 50.3 (#180)
| Benchmark | Grok 3 | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1426 | — |
| LMArena Creative Writing | 1414 | — |
| Short-Story Creative Writing | 76.4% | — |
| EQ-Bench Creative Writing | 1186 | — |
| WildBench | 84.9% | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Grok 3 better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 39.6 on the Noometry Index.
Is Grok 3 or Qwen3.6 27B better for coding?
Grok 3 scores higher on coding benchmarks: 41.5 versus 38.5 in the Noometry coding category.
How many benchmarks do Grok 3 and Qwen3.6 27B share?
3 benchmarks have published results for both models. Grok 3 has 40 scored results on Noometry and Qwen3.6 27B has 11.