Model comparison
Grok 3 vs Qwen2.5-Coder (1.5B)
Grok 3 has enough public results to be ranked (#157); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
- Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.
Side by side
| Grok 3 | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.9 | — |
| Released | 2025-04-09 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 40 | 6 |
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Category by category
Coding Not comparable
Grok 3: 41.9 (#115), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Aider Polyglot | 53.3% | — |
| WeirdML | 37.2% | — |
| LMArena Coding | 1432 | — |
Agentic & Tool Use Not comparable
Grok 3: 30.5 (#76), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| BALROG | 29.5% | — |
Reasoning Not comparable
Grok 3: 13.7 (#333), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 138.33 | 113.14 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 36.1% | — |
| Kagi LLM Benchmark | 61.3% | — |
| ARC-AGI-1 | 5.5% | — |
| LMArena Hard Prompts | 1434 | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Grok 3: 38.0 (#145), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| Omni-MATH | 46.4% | — |
| LMArena Math | 1391 | — |
| MATH Level 5 | 88.7% | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Grok 3: 46.2 (#82), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 78.8% | — |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 5.8% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1421 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Grok 3: 52.3 (#87), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1410 | — |
| LMArena Chinese | 1448 | — |
| LMArena French | 1460 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1387 | — |
| LMArena Korean | 1373 | — |
| LMArena Russian | 1416 | — |
| LMArena Spanish | 1417 | — |
Instruction Following Not comparable
Grok 3: 75.0 (#73), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| IFEval | 88.4% | — |
| LMArena Instruction Following | 1409 | — |
Long Context Not comparable
Grok 3: 38.7 (#192), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1439 | — |
Writing & Preference Not comparable
Grok 3: 55.8 (#141), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok 3 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1426 | — |
| LMArena Creative Writing | 1414 | — |
| Short-Story Creative Writing | 76.4% | — |
| EQ-Bench Creative Writing | 1186 | — |
| WildBench | 84.9% | — |
| LMArena Multi-Turn | 1425 | — |
Frequently asked questions
Is Grok 3 better than Qwen2.5-Coder (1.5B)?
Grok 3 has enough public results to be ranked (#157); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Grok 3 and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. Grok 3 has 40 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.