Model comparison
Grok 4 Fast vs Qwen3 14B
Grok 4 Fast is the stronger model overall, scoring 39.0 to 35.0 on the Noometry Index.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. Grok 4 Fast scores higher in 2 categories and Qwen3 14B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 38.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 94.4% for Grok 4 Fast and 62.5% for Qwen3 14B.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Qwen3 14B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.0 | 35.0 |
| Released | 2025-09-19 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 30 | 12 |
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Category by category
Coding Qwen3 14B leads
Grok 4 Fast: 32.3 (#264), Qwen3 14B: 36.7 (#191)
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| LMArena WebDev | 1160 | — |
| SciCode | — | 31.6% |
| WeirdML | 42.9% | — |
| LMArena Coding | 1429 | — |
Agentic & Tool Use Too close to call
Grok 4 Fast: 29.3 (#80), Qwen3 14B: 29.4 (#78)
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Grok 4 Fast leads
Grok 4 Fast: 22.5 (#179), Qwen3 14B: 18.1 (#272)
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 66.1% | 49.1% |
| DTBench | 82.7% | 64% |
| Epoch Capabilities Index | 144.21 | 138.23 |
| ARC-AGI-2 | 5.3% | — |
| ARC-AGI-1 | 48.5% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1413 | — |
| LMCA | — | 18.2% |
| ForecastBench | 60.5 | — |
Math Too close to call
Grok 4 Fast: 36.1 (#126), Qwen3 14B: 37.0 (#102)
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1419 | — |
Knowledge Qwen3 14B leads
Grok 4 Fast: 31.5 (#211), Qwen3 14B: 39.2 (#124)
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| Vectara Hallucination Rate | 19.7% | 5.4% |
| GPQA Diamond | — | 63.8% |
| LMArena Expert | 1411 | — |
Multilingual Not comparable
Grok 4 Fast: 51.5 (#106), Qwen3 14B: —
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1397 | — |
| LMArena Chinese | 1458 | — |
| LMArena French | 1433 | — |
| LMArena German | 1383 | — |
| LMArena Japanese | 1358 | — |
| LMArena Korean | 1359 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1414 | — |
Instruction Following Not comparable
Grok 4 Fast: 73.4 (#116), Qwen3 14B: —
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1388 | — |
Long Context Grok 4 Fast leads
Grok 4 Fast: 63.2 (#3), Qwen3 14B: 38.0 (#201)
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | 94.4% | 62.5% |
| LMArena Longer Query | 1415 | — |
Writing & Preference Not comparable
Grok 4 Fast: 60.2 (#96), Qwen3 14B: —
| Benchmark | Grok 4 Fast | Qwen3 14B |
|---|---|---|
| LMArena Text | 1407 | — |
| LMArena Creative Writing | 1388 | — |
| LMArena Multi-Turn | 1414 | — |
Frequently asked questions
Is Grok 4 Fast better than Qwen3 14B?
Grok 4 Fast is the stronger model overall, scoring 39.0 to 35.0 on the Noometry Index.
Is Grok 4 Fast or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 36.7 versus 32.3 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Qwen3 14B share?
5 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Qwen3 14B has 12.