DeepSeek-V4-Pro-0813 vs Qwen3.6 Plus
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 is 2.1x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (Humanity's Last Exam, NL2Repo, Toolathlon), while Qwen3.6 Plus is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Pro-0813 is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 2.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.6 Plus
- you want predictable pricing at $0.50/M input and $3.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (Humanity's Last Exam, NL2Repo, Toolathlon), while Qwen3.6 Plus is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.1x cheaper than Qwen3.6 Plus ($0.50/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 3.4x cheaper than Qwen3.6 Plus ($3.00/1M tokens).
In conclusion, Qwen3.6 Plus is more expensive than DeepSeek-V4-Pro-0813.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Qwen3.6 Plus's 1,000,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Qwen3.6 Plus is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.6 Plus supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 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-0813
Qwen3.6 Plus
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 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-0813 was released on 2026-08-13, while Qwen3.6 Plus was released on 2026-03-31.
DeepSeek-V4-Pro-0813 is 5 months newer than Qwen3.6 Plus.
Aug 13, 2026
1 weeks ago
4mo newerMar 31, 2026
4 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-0813 is available from DeepSeek, DeepInfra, Novita, Together. Qwen3.6 Plus is available from Novita, Together.
DeepSeek-V4-Pro-0813
Qwen3.6 Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Qwen3.6 Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Qwen3.6 Plus.