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DeepSeek-V4-Pro-0813 vs DeepSeek VL2 Small

Comparing DeepSeek-V4-Pro-0813 and DeepSeek VL2 Small across benchmarks, pricing, and capabilities.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and DeepSeek VL2 Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose DeepSeek VL2 Small

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
DeepSeek VL2 Small
DeepSeek
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Dec 2024
License
MIT
deepseek

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and DeepSeek VL2 Smalldon'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

1584.0B diff

DeepSeek-V4-Pro-0813 has 1584.0B more parameters than DeepSeek VL2 Small, making it 9900.0% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
DeepSeek
DeepSeek VL2 Small
16.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
16.0B
DeepSeek VL2 Small

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

DeepSeek VL2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while DeepSeek VL2 Small uses deepseek.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Pro-0813

MIT

Open weights

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while DeepSeek VL2 Small was released on 2024-12-13.

DeepSeek-V4-Pro-0813 is 20 months newer than DeepSeek VL2 Small.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.7yr newer
DeepSeek VL2 Small

Dec 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and DeepSeek VL2 Small side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
DeepSeek VL2 Small
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs DeepSeek VL2 Small.

Which is better, DeepSeek-V4-Pro-0813 or DeepSeek VL2 Small?

DeepSeek-V4-Pro-0813 (DeepSeek) and DeepSeek VL2 Small (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to DeepSeek VL2 Small in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and DeepSeek VL2 Small?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and DeepSeek VL2 Small supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-0813 and DeepSeek VL2 Small?

Key differences include multimodal support (no vs yes), licensing (MIT vs deepseek). See the full comparison above for benchmark-by-benchmark results.

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