GPT Audio Mini is $0.18 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
API cost decision in 10 seconds
Qwen3 Max Thinking vs GPT Audio Mini
Pick GPT Audio Mini for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT Audio Mini for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $2.73 for Qwen3 Max Thinking, saving $0.93 (34.1% lower).
Cost-first pickGPT Audio Mini
Context-first pickQwen3 Max Thinking
Sample savings$0.9334.1%
10x traffic gap$9.3
Qwen3 Max Thinking has more context, but GPT Audio Mini saves $0.93 on the standard workload. At 10x that traffic, the same price gap is about $9.3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT Audio Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 Max Thinking | GPT Audio Mini |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT Audio Mini | $5.85 | $4.2 |
| Balanced workload | 1M input + 1M output | GPT Audio Mini | $4.68 | $3 |
| Output-heavy chatbot | 1M input + 5M output | GPT Audio Mini | $20.28 | $12.6 |
GPT Audio Mini is $1.5 cheaper per 1M output tokens (38.5% lower; 1.62x difference).
Qwen3 Max Thinking has 134.14K more context (2.05x larger).
GPT Audio Mini is $0.93 cheaper on the standard workload (34.1% 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
GPT Audio Mini has the lower input price; GPT Audio Mini has the lower output price; Qwen3 Max Thinking offers the larger context window. For the 1M input plus 500K output sample, GPT Audio Mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.73 for Qwen3 Max Thinking and $1.8 for GPT Audio Mini.
Choose Qwen3 Max Thinking when you care most about larger context window.
Choose GPT Audio Mini when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $2.73 for Qwen3 Max Thinking, saving $0.93 (34.1% lower).
- GPT Audio Mini is $0.93 cheaper on the standard workload (34.1% lower).
- GPT Audio Mini is $0.18 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
- GPT Audio Mini is $1.5 cheaper per 1M output tokens (38.5% lower; 1.62x difference).
- Qwen3 Max Thinking has 134.14K more context (2.05x larger).
| Feature | Qwen3 Max Thinking (Qwen) | GPT Audio Mini (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.78 | $0.6 |
| Completion Price per 1M tokens | $3.9 | $2.4 |
| Sample Workload Cost 1M input + 500K output | $2.73 | $1.8 |
| Context Window | 262.14K | 128K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT Audio Mini | On the standard 1M input plus 500K output workload, GPT Audio Mini is estimated at $1.8 vs $2.73 for Qwen3 Max Thinking, saving $0.93 (34.1% lower). |
| High-volume input processing | GPT Audio Mini | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT Audio Mini | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3 Max Thinking | 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 Max Thinking when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 Max Thinking 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.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
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