Model Comparison

DeepSeek VL2 Tiny vs GPT-5 nano

Comparing DeepSeek VL2 Tiny and GPT-5 nano across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and GPT-5 nano don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and GPT-5 nano support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while GPT-5 nano uses a proprietary license.

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

DeepSeek VL2 Tiny

deepseek

Open weights

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 8 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

GPT-5 nano

Aug 7, 2025

9 months ago

7mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

GPT-5 nano

May 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
OpenAI
Larger context window (400,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
OpenAI
GPT-5 nano

FAQ

Common questions about DeepSeek VL2 Tiny vs GPT-5 nano.

Which is better, DeepSeek VL2 Tiny or GPT-5 nano?

DeepSeek VL2 Tiny (DeepSeek) and GPT-5 nano (OpenAI) 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 VL2 Tiny compare to GPT-5 nano in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

What are the context window sizes for DeepSeek VL2 Tiny and GPT-5 nano?

DeepSeek VL2 Tiny supports an unknown number of tokens and GPT-5 nano supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Tiny and GPT-5 nano?

Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and GPT-5 nano?

DeepSeek VL2 Tiny is developed by DeepSeek and GPT-5 nano is developed by OpenAI.