Model comparison
Grok 4 vs Qwen3 14B
Grok 4 is the stronger model overall, scoring 47.8 to 35.0 on the Noometry Index.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both. Grok 4 scores higher in 6 categories and Qwen3 14B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 38.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 94.4% for Grok 4 and 62.5% for Qwen3 14B.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 | Qwen3 14B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 47.8 | 35.0 |
| Released | 2025-07-09 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 48 | 12 |
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Category by category
Coding Grok 4 leads
Grok 4: 49.9 (#44), Qwen3 14B: 36.7 (#191)
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| Aider Polyglot | 79.6% | — |
| SciCode | — | 31.6% |
| WeirdML | 45.7% | — |
| LMArena Coding | 1408 | — |
Agentic & Tool Use Grok 4 leads
Grok 4: 32.1 (#62), Qwen3 14B: 29.4 (#78)
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | 41% |
| Terminal-Bench | 27.2% | — |
| 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: 36.9 (#59), Qwen3 14B: 18.1 (#272)
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 73.6% | 49.1% |
| Chess Puzzles | 28% | 4% |
| Epoch Capabilities Index | 146.46 | 138.23 |
| ARC-AGI-2 | 16% | — |
| SimpleBench | 60.5% | — |
| ARC-AGI-1 | 66.7% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1409 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| ForecastBench | 60.9 | — |
Math Grok 4 leads
Grok 4: 46.5 (#58), Qwen3 14B: 37.0 (#102)
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84% | 66.4% |
| Omni-MATH | 60.3% | — |
| LMArena Math | 1422 | — |
| FrontierMath (Feb 2025 set) | 19.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4 leads
Grok 4: 53.7 (#50), Qwen3 14B: 39.2 (#124)
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 87% | 63.8% |
| MMLU-Pro | 85.1% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 5.4% |
| GPQA (HELM) | 72.7% | — |
| LMArena Expert | 1417 | — |
Multimodal Not comparable
Grok 4: 33.1 (#89), Qwen3 14B: —
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 45% | — |
Multilingual Not comparable
Grok 4: 52.0 (#98), Qwen3 14B: —
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1403 | — |
| LMArena Chinese | 1428 | — |
| LMArena French | 1418 | — |
| LMArena German | 1429 | — |
| LMArena Japanese | 1396 | — |
| LMArena Korean | 1376 | — |
| LMArena Russian | 1409 | — |
| LMArena Spanish | 1419 | — |
Instruction Following Not comparable
Grok 4: 79.4 (#4), Qwen3 14B: —
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| IFEval | 94.9% | — |
| LMArena Instruction Following | 1387 | — |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), Qwen3 14B: 38.0 (#201)
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | 94.4% | 62.5% |
| LMArena Longer Query | 1409 | — |
Writing & Preference Not comparable
Grok 4: 58.7 (#111), Qwen3 14B: —
| Benchmark | Grok 4 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1412 | — |
| LMArena Creative Writing | 1397 | — |
| Short-Story Creative Writing | 76.9% | — |
| WildBench | 79.7% | — |
| LMArena Multi-Turn | 1416 | — |
Frequently asked questions
Is Grok 4 better than Qwen3 14B?
Grok 4 is the stronger model overall, scoring 47.8 to 35.0 on the Noometry Index.
Is Grok 4 or Qwen3 14B better for coding?
Grok 4 scores higher on coding benchmarks: 49.9 versus 36.7 in the Noometry coding category.
How many benchmarks do Grok 4 and Qwen3 14B share?
7 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and Qwen3 14B has 12.