Model comparison
Grok-2 (Dec 2024) vs Qwen2.5 14B Instruct
Grok-2 (Dec 2024) has enough public results to be ranked (#239); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.7 to 33.3.
- Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | 38.7 |
| Released | 2024-08-13 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 34 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 14B Instruct leads
Grok-2 (Dec 2024): 33.3 (#258), Qwen2.5 14B Instruct: 37.7 (#191)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | — | 39.8% |
| LiveBench Coding | 46.4% | — |
| LMArena Coding | 1287 | — |
| BigCodeBench Complete | — | 52.2% |
Reasoning Not comparable
Grok-2 (Dec 2024): 16.9 (#299), Qwen2.5 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| LMArena Hard Prompts | 1272 | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Not comparable
Grok-2 (Dec 2024): 20.8 (#284), Qwen2.5 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| 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% | — |
Knowledge Not comparable
Grok-2 (Dec 2024): 29.8 (#233), Qwen2.5 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
| LMArena Expert | 1254 | — |
| MMLU | — | 79.9% |
Multilingual Not comparable
Grok-2 (Dec 2024): 43.1 (#188), Qwen2.5 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| 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 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| LiveBench Instruction Following | 69.6% | — |
| LMArena Instruction Following | 1270 | — |
Long Context Not comparable
Grok-2 (Dec 2024): 38.8 (#190), Qwen2.5 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Grok-2 (Dec 2024): 48.6 (#198), Qwen2.5 14B Instruct: —
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5 14B Instruct |
|---|---|---|
| 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 14B Instruct?
Grok-2 (Dec 2024) has enough public results to be ranked (#239); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Is Grok-2 (Dec 2024) or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.7 versus 33.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Qwen2.5 14B Instruct share?
0 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen2.5 14B Instruct has 3.