API cost decision in 10 seconds
NewQwen3.7 Max vs 🔥GPT-5.5
Pick Qwen3.7 Max for lower cost; pick GPT-5.5 only if the larger context window matters more.
Budget verdict
Pick Qwen3.7 Max for lower cost; pick GPT-5.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $20 for GPT-5.5, saving $13.75 (68.8% lower).
GPT-5.5 has more context, but Qwen3.7 Max saves $13.75 on the standard workload. At 10x that traffic, the same price gap is about $137.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.7 Max stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.7 Max | GPT-5.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.7 Max | $16.25 | $40 |
| Balanced workload | 1M input + 1M output | Qwen3.7 Max | $10 | $35 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.7 Max | $40 | $155 |
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3.7 Max has the lower input price, Qwen3.7 Max has the lower output price, and GPT-5.5 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Qwen3.7 Max and $20 for GPT-5.5.
Choose Qwen3.7 Max when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 when you care most about larger context window.
| Feature | NewQwen3.7 Max (Qwen) | 🔥GPT-5.5 (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2.5 | $5 |
| Completion Price per 1M tokens | $7.5 | $30 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $20 |
| Context Window | 1M | 1.05M |
| Release Date | 2026-05-21 | 2026-04-24 |
| Popularity | #17 |
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.7 Max | On the standard 1M input plus 500K output workload, Qwen3.7 Max is estimated at $6.25 vs $20 for GPT-5.5, saving $13.75 (68.8% lower). |
| High-volume input processing | Qwen3.7 Max | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Qwen3.7 Max | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 | A larger context window leaves more room for retrieved passages and source files. |