Qwen3.6 35B A3B is $2.35 cheaper per 1M input tokens (94% lower; 16.7x difference).
API cost decision in 10 seconds
Qwen3.6 35B A3B vs GPT Audio
Pick Qwen3.6 35B A3B when budget and context both matter.
Budget verdict
Pick Qwen3.6 35B A3B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $7.5 for GPT Audio, saving $6.85 (91.3% lower).
Qwen3.6 35B A3B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $68.5. Use the calculator below to replace the sample workload with your own token volume.
Qwen3.6 35B A3B is $9 cheaper per 1M output tokens (90% lower; 10x difference).
Qwen3.6 35B A3B has 134.14K more context (2.05x larger).
Qwen3.6 35B A3B is $6.85 cheaper on the standard workload (91.3% 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
Qwen3.6 35B A3B has the lower input price; Qwen3.6 35B A3B has the lower output price; Qwen3.6 35B A3B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 35B A3B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $7.5 for GPT Audio.
Choose Qwen3.6 35B A3B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GPT Audio when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $7.5 for GPT Audio, saving $6.85 (91.3% lower).
- Qwen3.6 35B A3B is $6.85 cheaper on the standard workload (91.3% lower).
- Qwen3.6 35B A3B is $2.35 cheaper per 1M input tokens (94% lower; 16.7x difference).
- Qwen3.6 35B A3B is $9 cheaper per 1M output tokens (90% lower; 10x difference).
- Qwen3.6 35B A3B has 134.14K more context (2.05x larger).
| Feature | Qwen3.6 35B A3B (Qwen) | GPT Audio (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $2.5 |
| Completion Price per 1M tokens | $1 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $7.5 |
| Context Window | 262.14K | 128K |
| Release Date | ||
| Popularity Rank current rank | Unranked | Unranked |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.6 35B A3B | On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $7.5 for GPT Audio, saving $6.85 (91.3% lower). |
| High-volume input processing | Qwen3.6 35B A3B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.6 35B A3B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.6 35B A3B | 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 Qwen3.6 35B A3B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 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.
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Cheaper alternatives
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Open OpenAI modelsQwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...