Model Comparison

GPT-4o vs DeepSeek VL2Which is better in 2026?

DeepSeek VL2 has a slight edge in benchmark performance.

Verdict: GPT-4o vs DeepSeek VL2 — which is better?

GPT-4o (by OpenAI) and DeepSeek VL2 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-4o outperforms in 2 benchmarks (AI2D, MMMU), while DeepSeek VL2 is better at 3 benchmarks (ChartQA, DocVQA, MathVista). DeepSeek VL2 has a slight edge in benchmark performance.

DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-4o if…

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose DeepSeek VL2 if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you process long inputs — it offers a 129,280 token context window
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4o outperforms in 2 benchmarks (AI2D, MMMU), while DeepSeek VL2 is better at 3 benchmarks (ChartQA, DocVQA, MathVista).

DeepSeek VL2 has a slight edge in benchmark performance.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to GPT-4o's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and DeepSeek VL2 support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while DeepSeek VL2 uses deepseek.

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

GPT-4o

Proprietary

Closed source

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while DeepSeek VL2 was released on 2024-12-13.

DeepSeek VL2 is 4 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.9 years ago

DeepSeek VL2

Dec 13, 2024

1.5 years ago

4mo newer

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

Provider Availability

GPT-4o is available from Azure, OpenAI. DeepSeek VL2 is available from Replicate.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

DeepSeek VL2

replicate logo
Replicate
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Higher AI2D score (94.2% vs 81.4%)
Higher MMMU score (72.2% vs 51.1%)
DeepSeek
Larger context window (129,280 tokens)
Has open weights
Higher ChartQA score (86.0% vs 85.7%)
Higher DocVQA score (93.3% vs 92.8%)
Higher MathVista score (62.8% vs 61.4%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
DeepSeek
DeepSeek VL2

FAQ

Common questions about GPT-4o vs DeepSeek VL2.

Which is better, GPT-4o or DeepSeek VL2?

DeepSeek VL2 has a slight edge in benchmark performance. GPT-4o is made by OpenAI and DeepSeek VL2 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to DeepSeek VL2 in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for GPT-4o and DeepSeek VL2?

GPT-4o supports 128K tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o and DeepSeek VL2?

Key differences include context window (128K vs 129K), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and DeepSeek VL2?

GPT-4o is developed by OpenAI and DeepSeek VL2 is developed by DeepSeek.

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