API cost decision in 10 seconds
Qwen3.6 35B A3B vs 🔥DeepSeek V3.2
Pick DeepSeek V3.2 for lower cost; pick Qwen3.6 35B A3B 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 DeepSeek V3.2 for lower cost; pick Qwen3.6 35B A3B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.65 for Qwen3.6 35B A3B, saving $0.21 (32.2% lower).
Cost-first pickDeepSeek V3.2
Context-first pickQwen3.6 35B A3B
Sample savings$0.2132.2%
10x traffic gap$2.09
Qwen3.6 35B A3B has more context, but DeepSeek V3.2 saves $0.21 on the standard workload. At 10x that traffic, the same price gap is about $2.09. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.6 35B A3B, balanced workload favors DeepSeek V3.2, and output-heavy chatbot favors DeepSeek V3.2.
| Workload shape | Token mix | Better pick | Qwen3.6 35B A3B | DeepSeek V3.2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 35B A3B | $1.25 | $1.45 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 | $1.15 | $0.63 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 | $5.15 | $2.14 |
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, DeepSeek V3.2 has the lower output price, and Qwen3.6 35B A3B offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $0.44 for DeepSeek V3.2.
Choose Qwen3.6 35B A3B when you care most about lower input-token price, and larger context window.
Choose DeepSeek V3.2 when you care most about lower output-token price.
| Feature | Qwen3.6 35B A3B (Qwen) | 🔥DeepSeek V3.2 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.25 |
| Completion Price per 1M tokens | $1 | $0.38 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $0.44 |
| Context Window | 262.14K | 131.07K |
| Release Date | 2026-04-27 | 2025-12-01 |
| Popularity | #8 |
Qwen3.6-35B-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...
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.2 | On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.65 for Qwen3.6 35B A3B, saving $0.21 (32.2% lower). |
| High-volume input processing | Qwen3.6 35B A3B | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | DeepSeek V3.2 | 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 and source files. |