DeepSeek-V4-Pro-Max vs Qwen3.6 Plus
DeepSeek-V4-Pro-Max leads the LLM Stats Score 43.1 to 39.5. Qwen3.6 Plus is 1.4x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Pro-Max leads the overall LLM Stats Score 43.1 to 39.5, ranking #42 overall.
In the 13 individual benchmarks reported for both models, DeepSeek-V4-Pro-Max wins 9; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.6 Plus is roughly 1.4x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-Max
- overall performance matters — it scores 43.1 and ranks #42 on LLM Stats
- you value its reported benchmark strengths — it wins 9 of 13 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.6 Plus
- cost matters — it's about 1.4x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for DeepSeek-V4-Pro-Max · 65 for Qwen3.6 Plus
DeepSeek-V4-Pro-Max outperforms in 9 benchmarks (FrontierSWE, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveBench, SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench 2.0, Toolathlon), while Qwen3.6 Plus is better at 4 benchmarks (GPQA, MCP Atlas, MMLU-Pro, SWE-Bench Pro).
DeepSeek-V4-Pro-Max shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-Max ($1.30/1M tokens) is 2.6x more expensive than Qwen3.6 Plus ($0.50/1M tokens).
For output processing, DeepSeek-V4-Pro-Max ($2.60/1M tokens) is 1.2x cheaper than Qwen3.6 Plus ($3.00/1M tokens).
In conclusion, DeepSeek-V4-Pro-Max is more expensive than Qwen3.6 Plus.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to Qwen3.6 Plus's 1,000,000 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 1,048,576 tokens, while Qwen3.6 Plus is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.6 Plus supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.
Qwen3.6 Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-Max
Qwen3.6 Plus
License
Usage and distribution terms
DeepSeek-V4-Pro-Max is licensed under MIT, while Qwen3.6 Plus uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-Max was released on 2026-04-23, while Qwen3.6 Plus was released on 2026-03-31.
DeepSeek-V4-Pro-Max is 1 month newer than Qwen3.6 Plus.
Apr 23, 2026
4 months ago
3w newerMar 31, 2026
5 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-Max is available from DeepInfra, Novita, DeepSeek, Fireworks, Together. Qwen3.6 Plus is available from Novita, Together.
DeepSeek-V4-Pro-Max
Qwen3.6 Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-Max and Qwen3.6 Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-Max vs Qwen3.6 Plus.