Qwen3 32B is $29.92 cheaper per 1M input tokens (99.7% lower; 375x difference).
API cost decision in 10 seconds
Qwen3 32B vs GPT-5.5 Pro
Pick Qwen3 32B for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3 32B for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $120 for GPT-5.5 Pro, saving $119.78 (99.8% lower).
Cost-first pickQwen3 32B
Context-first pickGPT-5.5 Pro
Sample savings$119.7899.8%
10x traffic gap$1197.8
GPT-5.5 Pro has more context, but Qwen3 32B saves $119.78 on the standard workload. At 10x that traffic, the same price gap is about $1197.8. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 32B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 32B | GPT-5.5 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 32B | $0.54 | $240 |
| Balanced workload | 1M input + 1M output | Qwen3 32B | $0.36 | $210 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 32B | $1.48 | $930 |
Qwen3 32B is $179.72 cheaper per 1M output tokens (99.8% lower; 642.9x difference).
GPT-5.5 Pro has 918.93K more context (8.01x larger).
Qwen3 32B is $119.78 cheaper on the standard workload (99.8% lower).
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 32B has the lower input price; Qwen3 32B has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 32B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for Qwen3 32B and $120 for GPT-5.5 Pro.
Choose Qwen3 32B when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $120 for GPT-5.5 Pro, saving $119.78 (99.8% lower).
- Qwen3 32B is $119.78 cheaper on the standard workload (99.8% lower).
- Qwen3 32B is $29.92 cheaper per 1M input tokens (99.7% lower; 375x difference).
- Qwen3 32B is $179.72 cheaper per 1M output tokens (99.8% lower; 642.9x difference).
- GPT-5.5 Pro has 918.93K more context (8.01x larger).
| Feature | Qwen3 32B (Qwen) | GPT-5.5 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $30 |
| Completion Price per 1M tokens | $0.28 | $180 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $120 |
| Context Window | 131.07K | 1.05M |
| Release Date | ||
| Popularity | #93 | #122 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 32B | On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $120 for GPT-5.5 Pro, saving $119.78 (99.8% lower). |
| High-volume input processing | Qwen3 32B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 32B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 32B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 32B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
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Cheaper alternatives
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Open OpenAI modelsQwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...