Model comparison
Grok 4.7 vs Qwen1.5-110B
Grok 4.7 is the stronger model overall, scoring 53.1 to 34.2 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Grok 4.7 scores higher in 8 categories and Qwen1.5-110B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.7 leads 70.0 to 38.0.
- Qwen1.5-110B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.7 | Qwen1.5-110B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 53.1 | 34.2 |
| Released | 2026-09-21 | 2024-04-25 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 39 | 20 |
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Category by category
Coding Grok 4.7 leads
Grok 4.7: 58.0 (#18), Qwen1.5-110B: 33.0 (#264)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Coding | 1427 | 1184 |
| FrontierCode | 47.6% | — |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1639 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.8% | — |
| BigCodeBench Instruct | — | 35% |
| BigCodeBench Complete | — | 44.4% |
Agentic & Tool Use Not comparable
Grok 4.7: 36.7 (#37), Qwen1.5-110B: —
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| APEX-Agents | 54.6% | — |
| GDP.pdf | 22.8% | — |
| Vending-Bench 2 | 10,537 | — |
Reasoning Grok 4.7 leads
Grok 4.7: 49.1 (#40), Qwen1.5-110B: 22.7 (#189)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1413 | 1168 |
| NYT Connections (extended) | 76.8% | — |
| CritPt | 18% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 96% | — |
| LMCA | 49.4% | — |
| Epoch Capabilities Index | 153.53 | — |
| ForecastBench | — | 57.7 |
Math Grok 4.7 leads
Grok 4.7: 57.8 (#39), Qwen1.5-110B: 33.7 (#201)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1407 | 1185 |
| FrontierMath (Tiers 1-3) | 53% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 98.1% | — |
| ProofBench | 34% | — |
Knowledge Grok 4.7 leads
Grok 4.7: 62.8 (#22), Qwen1.5-110B: 31.2 (#219)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | 1422 | 1144 |
| GPQA Diamond | 92.7% | — |
| SimpleQA Verified | 56% | — |
Multimodal Not comparable
Grok 4.7: 35.5 (#87), Qwen1.5-110B: —
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Vision | 1228 | — |
| Blueprint-Bench 2 | 32.5% | — |
| Furniture Assembly | 20.8% | — |
Multilingual Grok 4.7 leads
Grok 4.7: 50.8 (#116), Qwen1.5-110B: 33.6 (#250)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1389 | 1142 |
| LMArena Chinese | 1455 | 1206 |
| LMArena French | 1455 | 1151 |
| LMArena Russian | 1397 | 1118 |
| LMArena Spanish | 1400 | 1142 |
| LMArena German | — | 1123 |
| LMArena Japanese | — | 1074 |
| LMArena Korean | — | 1044 |
Instruction Following Grok 4.7 leads
Grok 4.7: 74.1 (#105), Qwen1.5-110B: 60.3 (#252)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1158 |
Long Context Grok 4.7 leads
Grok 4.7: 43.1 (#104), Qwen1.5-110B: 35.1 (#242)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1413 | 1157 |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.0 (#24), Qwen1.5-110B: 38.0 (#255)
| Benchmark | Grok 4.7 | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1399 | 1175 |
| LMArena Creative Writing | 1391 | 1148 |
| LMArena Multi-Turn | 1393 | 1160 |
| EQ-Bench Creative Writing | 2007 | — |
Frequently asked questions
Is Grok 4.7 better than Qwen1.5-110B?
Grok 4.7 is the stronger model overall, scoring 53.1 to 34.2 on the Noometry Index.
Is Grok 4.7 or Qwen1.5-110B better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 33.0 in the Noometry coding category.
How many benchmarks do Grok 4.7 and Qwen1.5-110B share?
14 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Qwen1.5-110B has 20.