Model comparison
Grok-2 (Dec 2024) vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 33.7 on the Noometry Index.
Last verified . 27 shared benchmarks.
Alibaba (Qwen)Summary
- They share 27 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5-Max leads 36.9 to 20.8.
- The biggest single-benchmark swing is LiveBench Coding: 46.4% for Grok-2 (Dec 2024) and 64.4% for Qwen2.5-Max.
Side by side
| Grok-2 (Dec 2024) | Qwen2.5-Max | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | 40.7 |
| Released | 2024-08-13 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Grok-2 (Dec 2024): 33.3 (#258), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | 46.4% | 64.4% |
| LMArena Coding | 1287 | 1359 |
| WeirdML | 22.2% | — |
Reasoning Qwen2.5-Max leads
Grok-2 (Dec 2024): 16.9 (#299), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LiveBench Reasoning | 54.8% | 51.4% |
| LMArena Hard Prompts | 1272 | 1360 |
| LiveBench Data Analysis | 54.5% | 67.9% |
| Epoch Capabilities Index | 130.48 | 132.53 |
| LiveBench | 54.3% | 62.3% |
| SimpleBench | 22.7% | — |
| DTBench | 65.2% | — |
Math Qwen2.5-Max leads
Grok-2 (Dec 2024): 20.8 (#284), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | 54.9% | 58.4% |
| LMArena Math | 1283 | 1369 |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Qwen2.5-Max leads
Grok-2 (Dec 2024): 29.8 (#233), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| Confabulations | 20.1% | 21.8% |
| LMArena Expert | 1254 | 1337 |
| GPQA Diamond | 53.8% | — |
Multilingual Qwen2.5-Max leads
Grok-2 (Dec 2024): 43.1 (#188), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1282 | 1352 |
| LMArena Chinese | 1289 | 1382 |
| LMArena French | 1318 | 1396 |
| LMArena German | 1287 | 1350 |
| LMArena Japanese | 1244 | 1300 |
| LMArena Korean | 1237 | 1304 |
| LMArena Russian | 1286 | 1353 |
| LMArena Spanish | 1281 | 1377 |
Instruction Following Qwen2.5-Max leads
Grok-2 (Dec 2024): 66.9 (#202), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | 69.6% | 75.3% |
| LMArena Instruction Following | 1270 | 1335 |
Long Context Qwen2.5-Max leads
Grok-2 (Dec 2024): 38.8 (#190), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1276 | 1358 |
Writing & Preference Qwen2.5-Max leads
Grok-2 (Dec 2024): 48.6 (#198), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Grok-2 (Dec 2024) | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1305 | 1367 |
| LMArena Creative Writing | 1284 | 1339 |
| Short-Story Creative Writing | 63.6% | 72.9% |
| LMArena Multi-Turn | 1290 | 1364 |
| LiveBench Language | 45.6% | 56.3% |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 33.7 on the Noometry Index.
Is Grok-2 (Dec 2024) or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 33.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Qwen2.5-Max share?
27 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen2.5-Max has 27.