LLM Comparison
GPT-5.5 vs Qwen3-VL
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 models| Organization | ||
| OpenTools Score | 85 4.9 | 56 141 |
| Family | GPT | Qwen3 |
| Status | Current | Current |
| Release Date | Apr 2026 | Apr 2025 |
| Context Window | 1.1M tokens | 131K tokens |
| Input Price | $5.00/M tokens | $0.20/M tokens |
| Output Price | $30.00/M tokens | $0.60/M tokens |
| Pricing Notes | Cached input: $0.50/M tokens. Long context (>272K tokens): 2x input, 1.5x output. Batch API: 50% discount. Priority: 2.5x standard. | — |
| Capabilities | textvisioncodetool-useextended-thinkingcomputer-useweb-search | textvisioncodetool-use |
| Training Cutoff | Dec 01, 2025 | — |
| Max Output | 128K tokens | 8K tokens |
| API Identifier | openai/gpt-5.5 | qwen-vl-max |
| Benchmarks | ||
| MMLU | 92.4openai | — |
| GPQA Diamond | 93.6openai | — |
| ARC-AGI-2 | 85openai | — |
| Terminal-Bench 2.0 | 82.7openai | — |
| SWE-bench Pro | 58.6openai | — |
| OSWorld-Verified | 78.7openai | — |
| BrowseComp | 84.4openai | — |
| MMMU-Pro | 81.2openai | — |
| FrontierMath Tier 4 | 35.4openai | — |
| HLE (with tools) | 52.2openai | — |
| GDPval | 84.9openai | — |
| Toolathlon | 55.6openai | — |
| CyberGym | 81.8openai | — |
| MRCR v2 512K-1M | 74openai | — |
| Artificial Analysis Intelligence Index v4.3 | 38.6292artificial-analysis | — |
| SciCode | 55.787artificial-analysis | — |
| Terminal-Bench 2.1 | 84.2697artificial-analysis | — |
| MMMU | — | 70.3openrouter |
| DocVQA | — | 94.1openrouter |
| ChartQA | — | 86.5openrouter |
| OCRBench | — | 88.7openrouter |
| MathVista | — | 74.8openrouter |
| RealWorldQA | — | 75.2openrouter |
| Video-MME | — | 69.8openrouter |
| View GPT-5.5 | View Qwen3-VL | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Qwen3-VLCheapest | $0.20 | $0.30 | $0.50 | — |
| GPT-5.5 | $5.00 | $15.00 | $20.00 | +3900% |
OpenAI
GPT-5.5
GPT-5.5 is OpenAI's smartest and most intuitive model, built for agentic work like coding, research, and data analysis. It matches GPT-5.4 per-token latency while delivering higher intelligence with significantly fewer tokens. Supports a 1,050,000 token context window and five reasoning effort levels (none through xhigh).
Alibaba
Qwen3-VL
Qwen3-VL is Alibaba's multimodal vision-language model from the Qwen3 family. It processes images, videos, and text together, excelling at document understanding, chart reading, OCR, and visual reasoning tasks across multiple languages.
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