Model comparison
Grok-3 mini vs Qwen3 14B
Grok-3 mini is the stronger model overall, scoring 41.2 to 35.5 on the Noometry Index.
Last verified . 5 shared benchmarks.
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Grok-3 mini scores higher in 4 categories and Qwen3 14B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok-3 mini leads 46.4 to 39.3.
- The biggest single-benchmark swing is GPQA Diamond: 76.3% for Grok-3 mini and 63.8% for Qwen3 14B.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Grok-3 mini | Qwen3 14B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 41.2 | 35.5 |
| Released | 2025-04-09 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 35 | 12 |
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Category by category
Coding Grok-3 mini leads
Grok-3 mini: 40.8 (#131), Qwen3 14B: 37.3 (#195)
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| Aider Polyglot | 49.3% | — |
| SciCode | — | 31.6% |
| WeirdML | 42.6% | — |
| LMArena Coding | 1379 | — |
Agentic & Tool Use Not comparable
Grok-3 mini: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Grok-3 mini: 13.6 (#334), Qwen3 14B: 18.5 (#280)
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 61.3% | 49.1% |
| Epoch Capabilities Index | 140.35 | 138.23 |
| ARC-AGI-2 | 0.4% | — |
| ARC-AGI-1 | 16.5% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1375 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
Math Grok-3 mini leads
Grok-3 mini: 42.1 (#85), Qwen3 14B: 38.6 (#133)
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 77.8% | 66.4% |
| Omni-MATH | 31.8% | — |
| LMArena Math | 1386 | — |
| MATH Level 5 | 90.9% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
Knowledge Grok-3 mini leads
Grok-3 mini: 46.4 (#81), Qwen3 14B: 39.3 (#134)
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 76.3% | 63.8% |
| MMLU-Pro | 79.9% | — |
| Confabulations | 10.8% | — |
| Vectara Hallucination Rate | — | 5.4% |
| GPQA (HELM) | 67.5% | — |
| LMArena Expert | 1395 | — |
Multilingual Not comparable
Grok-3 mini: 48.1 (#145), Qwen3 14B: —
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1352 | — |
| LMArena Chinese | 1387 | — |
| LMArena French | 1357 | — |
| LMArena German | 1349 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1335 | — |
| LMArena Russian | 1353 | — |
| LMArena Spanish | 1381 | — |
Instruction Following Not comparable
Grok-3 mini: 78.5 (#9), Qwen3 14B: —
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| IFEval | 95.1% | — |
| LMArena Instruction Following | 1357 | — |
Long Context Grok-3 mini leads
Grok-3 mini: 41.0 (#147), Qwen3 14B: 38.1 (#204)
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | 66.7% | 62.5% |
| LMArena Longer Query | 1372 | — |
Writing & Preference Not comparable
Grok-3 mini: 52.5 (#169), Qwen3 14B: —
| Benchmark | Grok-3 mini | Qwen3 14B |
|---|---|---|
| LMArena Text | 1370 | — |
| LMArena Creative Writing | 1342 | — |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 65.1% | — |
| LMArena Multi-Turn | 1355 | — |
Frequently asked questions
Is Grok-3 mini better than Qwen3 14B?
Grok-3 mini is the stronger model overall, scoring 41.2 to 35.5 on the Noometry Index.
Is Grok-3 mini or Qwen3 14B better for coding?
Grok-3 mini scores higher on coding benchmarks: 40.8 versus 37.3 in the Noometry coding category.
How many benchmarks do Grok-3 mini and Qwen3 14B share?
5 benchmarks have published results for both models. Grok-3 mini has 35 scored results on Noometry and Qwen3 14B has 12.