LLM Comparison
GPT-5.5 vs Qwen3.5-9B
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
Add to comparison
2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 85 4.9 | 34 270 |
| Family | GPT | Qwen |
| Status | Current | Current |
| Release Date | Apr 2026 | Mar 2026 |
| Context Window | 1.1M tokens | 262K tokens |
| Input Price | $5.00/M tokens | $0.10/M tokens |
| Output Price | $30.00/M tokens | $0.15/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 | textvisionvideocode |
| Training Cutoff | Dec 01, 2025 | — |
| Max Output | 128K tokens | — |
| API Identifier | openai/gpt-5.5 | qwen/qwen3.5-9b |
| Benchmarks | ||
| MMLU | 92.4openai | — |
| GPQA Diamond | 93.6openai | 81.7alibaba |
| 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 | 70.1alibaba |
| 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 | 29.2135artificial-analysis |
| MMLU-Pro | — | 82.5alibaba |
| IFEval | — | 91.5alibaba |
| HMMT 2025 | — | 83.2alibaba |
| TAU2-Bench | — | 79.1alibaba |
| View GPT-5.5 | View Qwen3.5-9B | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Qwen3.5-9BCheapest | $0.10 | $0.08 | $0.18 | — |
| GPT-5.5 | $5.00 | $15.00 | $20.00 | +11329% |
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
Qwen3.5-9B
Qwen3.5-9B is a multimodal llm from Alibaba. Supports up to 262,144 token context window. Achieves 87.5% on MMLU. Available from $0.10/M input tokens.
More Comparisons
Looking for more AI models?
Browse All LLMs