Model comparison
GPT-5.6 Sol vs Qwen3.5 Plus
GPT-5.6 Sol is the stronger model overall, scoring 64.4 to 42.3 on the Noometry Index. Qwen3.5 Plus costs 8.9× less per token, which makes it the better buy when GPT-5.6 Sol's lead doesn't matter for your workload.
Last verified . 11 shared benchmarks.
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. GPT-5.6 Sol scores higher in 4 categories and Qwen3.5 Plus in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Sol leads 74.7 to 32.0.
- The biggest single-benchmark swing is SimpleQA Verified: 69.7% for GPT-5.6 Sol and 25.4% for Qwen3.5 Plus.
- Qwen3.5 Plus is cheaper at $0.40 / $2.40 per million input/output tokens, against $4 / $20 for GPT-5.6 Sol.
- GPT-5.6 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-5.6 Sol | Qwen3.5 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.4 | 42.3 |
| Released | 2026-07-09 | 2026-02-16 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $4 | $0.40 |
| Output $ / M tokens | $20 | $2.40 |
| Results tracked | 64 | 15 |
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Category by category
Coding Not comparable
GPT-5.6 Sol: 61.1 (#7), Qwen3.5 Plus: —
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| ALE-Bench | 2,177 | 621.92 |
| DeepSWE | 72.7% | — |
| FrontierCode | 47.5% | — |
| CursorBench | 41.7% | — |
| LMArena WebDev | 1619 | — |
| FrontierSWE | 32.2% | — |
| SciCode | 57.1% | — |
| WeirdML | 89.4% | — |
| LMArena Coding | 1493 | — |
| MirrorCode | 20% | — |
Agentic & Tool Use Not comparable
GPT-5.6 Sol: 50.2 (#7), Qwen3.5 Plus: —
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| Vending-Bench 2 | 9,619 | 0.54 |
| APEX-Agents | 51.4% | — |
| OSWorld 2.0 | 27.3% | — |
| τ²-bench Banking | 46.9% | — |
| PostTrainBench | 36.2% | — |
| BALROG | 60% | — |
| GBAEval | 52.6% | — |
| GDP.pdf | 30.7% | — |
| LMArena Search | 1257 | — |
Reasoning GPT-5.6 Sol leads
GPT-5.6 Sol: 74.7 (#6), Qwen3.5 Plus: 32.0 (#67)
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| Chess Puzzles | 64% | 22% |
| Mystery Game Puzzles | 58% | 17% |
| DTBench | 96% | 80.5% |
| LMCA | 59.2% | 36.4% |
| Epoch Capabilities Index | 161.99 | 146.79 |
| ARC-AGI-2 | 92.5% | — |
| SimpleBench | 71.7% | — |
| Kagi LLM Benchmark | 67% | — |
| NYT Connections (extended) | 93.8% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 32.3% | — |
| EnigmaEval | 37.1% | — |
| EBR-Bench | 44.8% | — |
| LMArena Hard Prompts | 1481 | — |
| Surface Evolver Bench | 93.1% | — |
| Bench to the Future 3 | 0.14 | — |
Math GPT-5.6 Sol leads
GPT-5.6 Sol: 85.5 (#7), Qwen3.5 Plus: 47.9 (#55)
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 86.7% |
| FrontierMath (Tiers 1-3) | 89.1% | — |
| FrontierMath Tier 4 | 82.9% | — |
| ProofBench | 83% | — |
| LMArena Math | 1472 | — |
| FrontierMath (Feb 2025 set) | — | 21% |
| FrontierMath Erdős | 0% | — |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5.6 Sol leads
GPT-5.6 Sol: 64.3 (#16), Qwen3.5 Plus: 46.0 (#78)
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| GPQA Diamond | 93.5% | 84.8% |
| SimpleQA Verified | 69.7% | 25.4% |
| Vectara Hallucination Rate | 12.4% | 10.7% |
| LMArena Expert | 1517 | — |
Multimodal Not comparable
GPT-5.6 Sol: 48.9 (#8), Qwen3.5 Plus: —
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| LMArena Vision | 1281 | — |
| Blueprint-Bench 2 | 33.6% | — |
| Furniture Assembly | 56.7% | — |
| LMArena Document | 1483 | — |
Multilingual Not comparable
GPT-5.6 Sol: 55.4 (#32), Qwen3.5 Plus: —
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| LMArena Non-English | 1450 | — |
| LMArena Chinese | 1523 | — |
| LMArena French | 1475 | — |
| LMArena German | 1476 | — |
| LMArena Japanese | 1475 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1466 | — |
| LMArena Spanish | 1449 | — |
Instruction Following Not comparable
GPT-5.6 Sol: 77.8 (#16), Qwen3.5 Plus: —
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| LMArena Instruction Following | 1480 | — |
Long Context GPT-5.6 Sol leads
GPT-5.6 Sol: 45.3 (#42), Qwen3.5 Plus: 42.9 (#109)
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| CL-bench | — | 19.8% |
| CL-bench Life | — | 12.4% |
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
GPT-5.6 Sol: 73.5 (#12), Qwen3.5 Plus: —
| Benchmark | GPT-5.6 Sol | Qwen3.5 Plus |
|---|---|---|
| LMArena Text | 1456 | — |
| LMArena Creative Writing | 1450 | — |
| EQ-Bench Creative Writing | 1972 | — |
| EQ-Bench 4 | 1250 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is GPT-5.6 Sol better than Qwen3.5 Plus?
GPT-5.6 Sol is the stronger model overall, scoring 64.4 to 42.3 on the Noometry Index. Qwen3.5 Plus costs 8.9× less per token, which makes it the better buy when GPT-5.6 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-5.6 Sol or Qwen3.5 Plus?
Qwen3.5 Plus is cheaper. It lists at $0.40 per million input tokens and $2.40 per million output tokens; GPT-5.6 Sol lists at $4 and $20.
Which has the bigger context window?
GPT-5.6 Sol does, with 1.05M tokens against 1M.
How many benchmarks do GPT-5.6 Sol and Qwen3.5 Plus share?
11 benchmarks have published results for both models. GPT-5.6 Sol has 64 scored results on Noometry and Qwen3.5 Plus has 15.