Model comparison
GPT-5.1 vs Qwen1.5-110B
GPT-5.1 is the stronger model overall, scoring 49.0 to 34.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. GPT-5.1 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 GPT-5.1 leads 64.5 to 38.0.
- Qwen1.5-110B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1 | Qwen1.5-110B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 49.0 | 34.2 |
| Released | 2025-11-13 | 2024-04-25 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 63 | 20 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.1 leads
GPT-5.1: 46.4 (#66), Qwen1.5-110B: 33.0 (#264)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Coding | 1454 | 1184 |
| SWE-bench Verified | 68% | — |
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1395 | — |
| SciCode | 43.3% | — |
| GSO | 13.7% | — |
| WeirdML | 60.8% | — |
| BigCodeBench Instruct | — | 35% |
| LiveBench Coding | 72.5% | — |
| BigCodeBench Complete | — | 44.4% |
| ALE-Bench | 1,192 | — |
Agentic & Tool Use Not comparable
GPT-5.1: 32.7 (#60), Qwen1.5-110B: —
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| Terminal-Bench | 47.6% | — |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1199 | — |
| Vending-Bench 2 | 1,473 | — |
Reasoning GPT-5.1 leads
GPT-5.1: 39.8 (#58), Qwen1.5-110B: 22.7 (#189)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1457 | 1168 |
| ForecastBench | 58.1 | 57.7 |
| ARC-AGI-2 | 17.6% | — |
| SimpleBench | 53.2% | — |
| ARC-AGI-1 | 72.8% | — |
| CritPt | 4.9% | — |
| Chess Puzzles | 32% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 90.1% | — |
| LiveBench Data Analysis | 72.1% | — |
| LMCA | 43.9% | — |
| Epoch Capabilities Index | 149.64 | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 52.2 (#51), Qwen1.5-110B: 33.7 (#201)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1447 | 1185 |
| OTIS Mock AIME 2024-2025 | 88.6% | — |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GPT-5.1 leads
GPT-5.1: 50.6 (#71), Qwen1.5-110B: 31.2 (#219)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | 1470 | 1144 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 23.7% | — |
| SimpleQA Verified | 48% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |
Multimodal Not comparable
GPT-5.1: 44.8 (#19), Qwen1.5-110B: —
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Vision | 1250 | — |
| VPCT | 58.7% | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.1 leads
GPT-5.1: 53.8 (#56), Qwen1.5-110B: 33.6 (#250)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1431 | 1142 |
| LMArena Chinese | 1495 | 1206 |
| LMArena French | 1450 | 1151 |
| LMArena German | 1438 | 1123 |
| LMArena Japanese | 1453 | 1074 |
| LMArena Korean | 1401 | 1044 |
| LMArena Russian | 1435 | 1118 |
| LMArena Spanish | 1433 | 1142 |
Instruction Following GPT-5.1 leads
GPT-5.1: 83.9 (#1), Qwen1.5-110B: 60.3 (#252)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1443 | 1158 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), Qwen1.5-110B: 35.1 (#242)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1447 | 1157 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference GPT-5.1 leads
GPT-5.1: 64.5 (#55), Qwen1.5-110B: 38.0 (#255)
| Benchmark | GPT-5.1 | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1443 | 1175 |
| LMArena Creative Writing | 1427 | 1148 |
| LMArena Multi-Turn | 1450 | 1160 |
| WildBench | 86.3% | — |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than Qwen1.5-110B?
GPT-5.1 is the stronger model overall, scoring 49.0 to 34.2 on the Noometry Index.
Is GPT-5.1 or Qwen1.5-110B better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 33.0 in the Noometry coding category.
How many benchmarks do GPT-5.1 and Qwen1.5-110B share?
18 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Qwen1.5-110B has 20.