DeepSeek-V4-Pro-0813 vs DeepSeek VL2
Comparing DeepSeek-V4-Pro-0813 and DeepSeek VL2 across benchmarks, pricing, and capabilities.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and DeepSeek VL2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
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 process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose DeepSeek VL2
- you are already invested in the DeepSeek ecosystem
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and DeepSeek VL2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1573.0B more parameters than DeepSeek VL2, making it 5825.9% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while DeepSeek VL2 is limited to 129,280 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek VL2 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
DeepSeek VL2
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while DeepSeek VL2 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
deepseek
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while DeepSeek VL2 was released on 2024-12-13.
DeepSeek-V4-Pro-0813 is 20 months newer than DeepSeek VL2.
Aug 13, 2026
1 weeks ago
1.7yr newerDec 13, 2024
1.7 years 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. DeepSeek VL2 is available from Replicate.
DeepSeek-V4-Pro-0813
DeepSeek VL2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and DeepSeek VL2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs DeepSeek VL2.