Qwen3 235B A22B Thinking 2507 is $0.0005 cheaper per 1M input tokens (0.3% lower; 1x difference).
API cost decision in 10 seconds
Qwen3.6 35B A3B vs Qwen3 235B A22B Thinking 2507
Pick Qwen3.6 35B A3B when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.6 35B A3B when budget is the priority.
On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.25 (27.5% lower).
Cost-first pickQwen3.6 35B A3B
Context-first pickBoth models
Sample savings$0.2527.5%
10x traffic gap$2.47
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $2.47. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.6 35B A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 35B A3B | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 35B A3B | $1.25 | $1.5 |
| Balanced workload | 1M input + 1M output | Qwen3.6 35B A3B | $1.15 | $1.64 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.6 35B A3B | $5.15 | $7.62 |
Qwen3.6 35B A3B is $0.5 cheaper per 1M output tokens (33.1% lower; 1.5x difference).
Both models report the same context window at 262.14K tokens.
Qwen3.6 35B A3B is $0.25 cheaper on the standard workload (27.5% 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 235B A22B Thinking 2507 has the lower input price; Qwen3.6 35B A3B has the lower output price; both models report the same 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 $0.9 for Qwen3 235B A22B Thinking 2507.
Choose Qwen3.6 35B A3B when you care most about lower output-token price.
Choose Qwen3 235B A22B Thinking 2507 when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.25 (27.5% lower).
- Qwen3.6 35B A3B is $0.25 cheaper on the standard workload (27.5% lower).
- Qwen3 235B A22B Thinking 2507 is $0.0005 cheaper per 1M input tokens (0.3% lower; 1x difference).
- Qwen3.6 35B A3B is $0.5 cheaper per 1M output tokens (33.1% lower; 1.5x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | Qwen3.6 35B A3B (Qwen) | Qwen3 235B A22B Thinking 2507 (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.1495 |
| Completion Price per 1M tokens | $1 | $1.495 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $0.9 |
| Context Window | 262.14K | 262.14K |
| Release Date | ||
| Popularity | #76 | #133 |
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 $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.25 (27.5% lower). |
| High-volume input processing | Qwen3 235B A22B Thinking 2507 | 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 | Tie | 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.
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- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
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Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsQwen catalog
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Open Qwen 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...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...