Model comparison
GPT-5.5 vs Qwen3 Max
Compare GPT-5.5 vs Qwen3 Max API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-5.5
openai · gpt-5.5
- Input
- $5
- Output
- $30
- Context
- 1.1M
Qwen3 Max
novita · novita/qwen/qwen3-max
- Input
- $2.11
- Output
- $8.45
- Context
- 262.1K
Quick take
Qwen3 Max has the lower input price at $2.11 per 1M input tokens. Qwen3 Max is cheaper for the example blended workload below. GPT-5.5 has the larger context window at 1.1M tokens.
Choose GPT-5.5 if...
- GPT-5.5 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- GPT-5.5 gives more room for long generated answers, reports, or code output.
- GPT-5.5 is stronger when the same large prompt or document is reused because it supports prompt caching.
Choose Qwen3 Max if...
- Qwen3 Max 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 | Qwen3 Max | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $11.00 | $3.80 | Qwen3 Max |
| 10M input + 2M output | $110.00 | $38.00 | Qwen3 Max |
| 100M input + 20M output | $1,100.00 | $380.00 | Qwen3 Max |
Context, output, and capability fit
GPT-5.5 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-5.5 max output
- 128K
- Qwen3 Max max output
- 65.5K
- GPT-5.5 features
- prompt caching, function calling, vision
- Qwen3 Max features
- function calling
Risk notes for GPT-5.5
- High output price: cap max tokens for verbose generation workloads.
Risk notes for Qwen3 Max
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierreasoningcodingagentslong-contextmultimodalcache-friendlyragopen-weightlocal-open