Model comparison
Grok 4 Fast vs Qwen1.5-110B
Grok 4 Fast is the stronger model overall, scoring 39.4 to 34.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Grok 4 Fast scores higher in 6 categories and Qwen1.5-110B in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 35.1.
- Qwen1.5-110B has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Qwen1.5-110B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.4 | 34.2 |
| Released | 2025-09-19 | 2024-04-25 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 20 |
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Category by category
Coding Too close to call
Grok 4 Fast: 32.5 (#271), Qwen1.5-110B: 33.0 (#264)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Coding | 1429 | 1184 |
| LMArena WebDev | 1159 | — |
| WeirdML | 42.9% | — |
| BigCodeBench Instruct | — | 35% |
| BigCodeBench Complete | — | 44.4% |
Agentic & Tool Use Not comparable
Grok 4 Fast: 29.5 (#86), Qwen1.5-110B: —
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Too close to call
Grok 4 Fast: 22.2 (#201), Qwen1.5-110B: 22.7 (#189)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1412 | 1168 |
| ForecastBench | 60.5 | 57.7 |
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| DTBench | 82.7% | — |
| Epoch Capabilities Index | 144.2 | — |
Math Grok 4 Fast leads
Grok 4 Fast: 38.9 (#123), Qwen1.5-110B: 33.7 (#201)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1419 | 1185 |
Knowledge Too close to call
Grok 4 Fast: 32.0 (#214), Qwen1.5-110B: 31.2 (#219)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | 1411 | 1144 |
| Vectara Hallucination Rate | 19.7% | — |
Multilingual Grok 4 Fast leads
Grok 4 Fast: 51.3 (#111), Qwen1.5-110B: 33.6 (#250)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1396 | 1142 |
| LMArena Chinese | 1457 | 1206 |
| LMArena French | 1431 | 1151 |
| LMArena German | 1383 | 1123 |
| LMArena Japanese | 1352 | 1074 |
| LMArena Korean | 1357 | 1044 |
| LMArena Russian | 1389 | 1118 |
| LMArena Spanish | 1415 | 1142 |
Instruction Following Grok 4 Fast leads
Grok 4 Fast: 73.2 (#121), Qwen1.5-110B: 60.3 (#252)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1387 | 1158 |
Long Context Grok 4 Fast leads
Grok 4 Fast: 63.2 (#3), Qwen1.5-110B: 35.1 (#242)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1415 | 1157 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Grok 4 Fast leads
Grok 4 Fast: 60.0 (#102), Qwen1.5-110B: 38.0 (#255)
| Benchmark | Grok 4 Fast | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1407 | 1175 |
| LMArena Creative Writing | 1387 | 1148 |
| LMArena Multi-Turn | 1414 | 1160 |
Frequently asked questions
Is Grok 4 Fast better than Qwen1.5-110B?
Grok 4 Fast is the stronger model overall, scoring 39.4 to 34.2 on the Noometry Index.
Is Grok 4 Fast or Qwen1.5-110B better for coding?
They score almost the same on coding (32.5 vs 33.0); test both on your own repository before choosing.
How many benchmarks do Grok 4 Fast and Qwen1.5-110B share?
18 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Qwen1.5-110B has 20.