Model comparison
Grok-2 (Dec 2024) vs Qwen1.5-7B
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 6 categories and Qwen1.5-7B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok-2 (Dec 2024) leads 48.6 to 29.6.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Qwen1.5-7B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 33.7 | 31.4 |
| Released | 2024-08-13 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 13 |
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Category by category
Coding Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 33.3 (#258), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1287 | 1107 |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
Reasoning Qwen1.5-7B leads
Grok-2 (Dec 2024): 16.9 (#299), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1065 |
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Qwen1.5-7B leads
Grok-2 (Dec 2024): 20.8 (#284), Qwen1.5-7B: 31.4 (#224)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1283 | 1080 |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 29.8 (#233), Qwen1.5-7B: 28.7 (#243)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1254 | 1055 |
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
| MMLU | — | 62.6% |
Multilingual Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 43.1 (#188), Qwen1.5-7B: 28.5 (#271)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1282 | 1058 |
| LMArena Chinese | 1289 | 1141 |
| LMArena Russian | 1286 | 1006 |
| LMArena French | 1318 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Spanish | 1281 | — |
Instruction Following Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 66.9 (#202), Qwen1.5-7B: 54.1 (#281)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1270 | 1058 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 38.8 (#190), Qwen1.5-7B: 33.1 (#266)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1276 | 1090 |
Writing & Preference Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 48.6 (#198), Qwen1.5-7B: 29.6 (#293)
| Benchmark | Grok-2 (Dec 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1305 | 1083 |
| LMArena Creative Writing | 1284 | 1035 |
| LMArena Multi-Turn | 1290 | 1062 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Qwen1.5-7B?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 31.4 on the Noometry Index.
Is Grok-2 (Dec 2024) or Qwen1.5-7B better for coding?
Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 32.2 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Qwen1.5-7B share?
12 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Qwen1.5-7B has 13.