Model comparison
Grok-2 (Dec 2024) vs Qwen2.5-Coder (1.5B)
Grok-2 (Dec 2024) has enough public results to be ranked (#239); 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-2 (Dec 2024) | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | — |
| Released | 2024-08-13 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 6 |
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Category by category
Coding Not comparable
Grok-2 (Dec 2024): 33.3 (#258), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
| LMArena Coding | 1287 | — |
Reasoning Not comparable
Grok-2 (Dec 2024): 16.9 (#299), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 130.48 | 113.14 |
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| LMArena Hard Prompts | 1272 | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| HellaSwag | — | 76.8% |
| LiveBench | 54.3% | — |
| WinoGrande | — | 72.9% |
Math Not comparable
Grok-2 (Dec 2024): 20.8 (#284), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| LMArena Math | 1283 | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Grok-2 (Dec 2024): 29.8 (#233), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
| LMArena Expert | 1254 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Grok-2 (Dec 2024): 43.1 (#188), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1282 | — |
| LMArena Chinese | 1289 | — |
| LMArena French | 1318 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1281 | — |
Instruction Following Not comparable
Grok-2 (Dec 2024): 66.9 (#202), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LiveBench Instruction Following | 69.6% | — |
| LMArena Instruction Following | 1270 | — |
Long Context Not comparable
Grok-2 (Dec 2024): 38.8 (#190), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Grok-2 (Dec 2024): 48.6 (#198), Qwen2.5-Coder (1.5B): —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1305 | — |
| LMArena Creative Writing | 1284 | — |
| Short-Story Creative Writing | 63.6% | — |
| LMArena Multi-Turn | 1290 | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Qwen2.5-Coder (1.5B)?
Grok-2 (Dec 2024) has enough public results to be ranked (#239); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Grok-2 (Dec 2024) and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.