Model comparison
GPT-5.5 Pro vs Qwen3.6 Plus
Compare GPT-5.5 Pro vs Qwen3.6 Plus API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-5.5 Pro
openai · gpt-5.5-pro
- Input
- $30
- Output
- $180
- Context
- 1.1M
Qwen3.6 Plus
openrouter · openrouter/qwen/qwen3.6-plus
- Input
- $0.325
- Output
- $1.95
- Context
- 1M
Quick take
Qwen3.6 Plus has the lower input price at $0.325 per 1M input tokens. Qwen3.6 Plus is cheaper for the example blended workload below. GPT-5.5 Pro has the larger context window at 1.1M tokens.
Choose GPT-5.5 Pro if...
- GPT-5.5 Pro is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- GPT-5.5 Pro gives more room for long generated answers, reports, or code output.
- GPT-5.5 Pro is stronger when the same large prompt or document is reused because it supports prompt caching.
Choose Qwen3.6 Plus if...
- Qwen3.6 Plus is the better default for cost-sensitive traffic and repeated high-volume calls.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | GPT-5.5 Pro | Qwen3.6 Plus | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $66.00 | $0.72 | Qwen3.6 Plus |
| 10M input + 2M output | $660.00 | $7.15 | Qwen3.6 Plus |
| 100M input + 20M output | $6,600.00 | $71.50 | Qwen3.6 Plus |
Context, output, and capability fit
GPT-5.5 Pro provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-5.5 Pro max output
- 128K
- Qwen3.6 Plus max output
- 65.5K
- GPT-5.5 Pro features
- prompt caching, function calling, vision
- Qwen3.6 Plus features
- function calling, vision
Risk notes for GPT-5.5 Pro
- High output price: cap max tokens for verbose generation workloads.
Risk notes for Qwen3.6 Plus
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierpremiumreasoningcodingagentslong-contextmultimodalcache-friendlyragopen-weightbudgetlocal-open