Qwen3.6 27B is $0.14 cheaper per 1M input tokens (31% lower; 1.45x difference).
API cost decision in 10 seconds
Qwen3.6 27B vs DeepSeek V4 Pro
Pick DeepSeek V4 Pro when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V4 Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4 Pro is estimated at $0.87 vs $1.3 for Qwen3.6 27B, saving $0.43 (33.1% lower).
Cost-first pickDeepSeek V4 Pro
Context-first pickDeepSeek V4 Pro
Sample savings$0.4333.1%
10x traffic gap$4.3
DeepSeek V4 Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.3. 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 27B, balanced workload favors DeepSeek V4 Pro, and output-heavy chatbot favors DeepSeek V4 Pro.
| Workload shape | Token mix | Better pick | Qwen3.6 27B | DeepSeek V4 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 27B | $2.5 | $2.61 |
| Balanced workload | 1M input + 1M output | DeepSeek V4 Pro | $2.3 | $1.3 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4 Pro | $10.3 | $4.78 |
DeepSeek V4 Pro is $1.13 cheaper per 1M output tokens (56.5% lower; 2.3x difference).
DeepSeek V4 Pro has 786.43K more context (4x larger).
DeepSeek V4 Pro is $0.43 cheaper on the standard workload (33.1% 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
Qwen3.6 27B has the lower input price; DeepSeek V4 Pro has the lower output price; DeepSeek V4 Pro offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.6 27B and $0.87 for DeepSeek V4 Pro.
Choose Qwen3.6 27B when you care most about lower input-token price.
Choose DeepSeek V4 Pro when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V4 Pro is estimated at $0.87 vs $1.3 for Qwen3.6 27B, saving $0.43 (33.1% lower).
- DeepSeek V4 Pro is $0.43 cheaper on the standard workload (33.1% lower).
- Qwen3.6 27B is $0.14 cheaper per 1M input tokens (31% lower; 1.45x difference).
- DeepSeek V4 Pro is $1.13 cheaper per 1M output tokens (56.5% lower; 2.3x difference).
- DeepSeek V4 Pro has 786.43K more context (4x larger).
| Feature | Qwen3.6 27B (Qwen) | DeepSeek V4 Pro (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $0.435 |
| Completion Price per 1M tokens | $2 | $0.87 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $0.87 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4 Pro | On the standard 1M input plus 500K output workload, DeepSeek V4 Pro is estimated at $0.87 vs $1.3 for Qwen3.6 27B, saving $0.43 (33.1% lower). |
| High-volume input processing | Qwen3.6 27B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V4 Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 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 Qwen3.6 27B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 27B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 27B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 27B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 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
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsDeepSeek catalog
Check other DeepSeek models with comparable pricing, context, or release timing.
Open DeepSeek modelsQwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...