Model Comparison
Qwen3.6-27B vs DeepSeek-V4-Pro-MaxWhich is better in 2026?
DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. Qwen3.6-27B is 1.5x cheaper per token.
Verdict: Qwen3.6-27B vs DeepSeek-V4-Pro-Max — which is better?
Qwen3.6-27B (by Alibaba Cloud / Qwen Team) and DeepSeek-V4-Pro-Max (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.6-27B outperforms in 0 benchmarks, while DeepSeek-V4-Pro-Max is better at 10 benchmarks (GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0). DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.
On price, Qwen3.6-27B is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-Max also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.6-27B if…
- cost matters — it's about 1.5x cheaper per token
Choose DeepSeek-V4-Pro-Max if…
- you want the strongest raw capability — it leads on 10 of 10 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.6-27B outperforms in 0 benchmarks, while DeepSeek-V4-Pro-Max is better at 10 benchmarks (GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).
DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.6-27B ($0.60/1M tokens) is 2.7x cheaper than DeepSeek-V4-Pro-Max ($1.60/1M tokens).
For output processing, Qwen3.6-27B ($3.60/1M tokens) is 1.1x more expensive than DeepSeek-V4-Pro-Max ($3.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-Max is more expensive than Qwen3.6-27B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-Max has 1572.2B more parameters than Qwen3.6-27B, making it 5659.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to Qwen3.6-27B's 262,144 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 131,072 tokens, while Qwen3.6-27B is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.6-27B supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.
Qwen3.6-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.6-27B
DeepSeek-V4-Pro-Max
License
Usage and distribution terms
Qwen3.6-27B is licensed under Apache 2.0, while DeepSeek-V4-Pro-Max uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Qwen3.6-27B was released on 2026-04-21, while DeepSeek-V4-Pro-Max was released on 2026-04-23.
DeepSeek-V4-Pro-Max is 0 month newer than Qwen3.6-27B.
Apr 21, 2026
2 months ago
Apr 23, 2026
2 months ago
2d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.6-27B is available from Novita. DeepSeek-V4-Pro-Max is available from Novita, DeepInfra, DeepSeek, Fireworks, Together.
Qwen3.6-27B
DeepSeek-V4-Pro-Max
Outputs Comparison
Key Takeaways
Qwen3.6-27B
View detailsAlibaba Cloud / Qwen Team
DeepSeek-V4-Pro-Max
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.6-27B and DeepSeek-V4-Pro-Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.6-27B vs DeepSeek-V4-Pro-Max.