Model Comparison

DeepSeek VL2 vs GPT-4.1 nano

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 outperforms in 1 benchmarks (MathVista), while GPT-4.1 nano is better at 1 benchmark (MMMU).

Both models are evenly matched across the benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

GPT-4.1 nano accepts 1,047,576 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and GPT-4.1 nano support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

GPT-4.1 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while GPT-4.1 nano uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

GPT-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GPT-4.1 nano was released on 2025-04-14.

GPT-4.1 nano is 4 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

GPT-4.1 nano

Apr 14, 2025

1.1 years ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while DeepSeek VL2's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

GPT-4.1 nano

May 2024

Provider Availability

DeepSeek VL2 is available from Replicate. GPT-4.1 nano is available from OpenAI.

DeepSeek VL2

replicate logo
Replicate

GPT-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Higher MathVista score (62.8% vs 56.2%)
OpenAI
Larger context window (1,047,576 tokens)
Higher MMMU score (55.4% vs 51.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
OpenAI
GPT-4.1 nano

FAQ

Common questions about DeepSeek VL2 vs GPT-4.1 nano.

Which is better, DeepSeek VL2 or GPT-4.1 nano?

Both models are evenly matched across the benchmarks. DeepSeek VL2 is made by DeepSeek and GPT-4.1 nano is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 compare to GPT-4.1 nano in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.

What are the context window sizes for DeepSeek VL2 and GPT-4.1 nano?

DeepSeek VL2 supports 129K tokens and GPT-4.1 nano supports 1.0M 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 and GPT-4.1 nano?

Key differences include context window (129K vs 1.0M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and GPT-4.1 nano?

DeepSeek VL2 is developed by DeepSeek and GPT-4.1 nano is developed by OpenAI.