Qwen3 30B A3B Instruct 2507 is $29.91 cheaper per 1M input tokens (99.7% lower; 333.3x difference).
API cost decision in 10 seconds
Qwen3 30B A3B Instruct 2507 vs GPT-5.5 Pro
Pick Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 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 30B A3B Instruct 2507 is estimated at $0.24 vs $120 for GPT-5.5 Pro, saving $119.76 (99.8% lower).
Cost-first pickQwen3 30B A3B Instruct 2507
Context-first pickGPT-5.5 Pro
Sample savings$119.7699.8%
10x traffic gap$1197.6
GPT-5.5 Pro has more context, but Qwen3 30B A3B Instruct 2507 saves $119.76 on the standard workload. At 10x that traffic, the same price gap is about $1197.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 30B A3B Instruct 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 30B A3B Instruct 2507 | GPT-5.5 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 30B A3B Instruct 2507 | $0.6 | $240 |
| Balanced workload | 1M input + 1M output | Qwen3 30B A3B Instruct 2507 | $0.39 | $210 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 30B A3B Instruct 2507 | $1.59 | $930 |
Qwen3 30B A3B Instruct 2507 is $179.7 cheaper per 1M output tokens (99.8% lower; 600x difference).
GPT-5.5 Pro has 787.86K more context (4.01x larger).
Qwen3 30B A3B Instruct 2507 is $119.76 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 30B A3B Instruct 2507 has the lower input price; Qwen3 30B A3B Instruct 2507 has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 30B A3B Instruct 2507 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.24 for Qwen3 30B A3B Instruct 2507 and $120 for GPT-5.5 Pro.
Choose Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 is estimated at $0.24 vs $120 for GPT-5.5 Pro, saving $119.76 (99.8% lower).
- Qwen3 30B A3B Instruct 2507 is $119.76 cheaper on the standard workload (99.8% lower).
- Qwen3 30B A3B Instruct 2507 is $29.91 cheaper per 1M input tokens (99.7% lower; 333.3x difference).
- Qwen3 30B A3B Instruct 2507 is $179.7 cheaper per 1M output tokens (99.8% lower; 600x difference).
- GPT-5.5 Pro has 787.86K more context (4.01x larger).
| Feature | Qwen3 30B A3B Instruct 2507 (Qwen) | GPT-5.5 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.09 | $30 |
| Completion Price per 1M tokens | $0.3 | $180 |
| Sample Workload Cost 1M input + 500K output | $0.24 | $120 |
| Context Window | 262.14K | 1.05M |
| Release Date | ||
| Popularity | #110 | #122 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 30B A3B Instruct 2507 | On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $120 for GPT-5.5 Pro, saving $119.76 (99.8% lower). |
| High-volume input processing | Qwen3 30B A3B Instruct 2507 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 30B A3B Instruct 2507 | 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 30B A3B Instruct 2507 when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 30B A3B Instruct 2507 when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 30B A3B Instruct 2507 when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 30B A3B Instruct 2507 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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Open OpenAI modelsQwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
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...