Model Comparison

DeepSeek VL2 vs o3Which is better in 2026?

o3 significantly outperforms across most benchmarks.

Verdict: DeepSeek VL2 vs o3 — which is better?

DeepSeek VL2 (by DeepSeek) and o3 (by OpenAI) 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.

DeepSeek VL2 outperforms in 0 benchmarks, while o3 is better at 2 benchmarks (MathVista, MMMU). o3 significantly outperforms across most benchmarks.

o3 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

  • you need open weights you can self-host or fine-tune

Choose o3 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek VL2 outperforms in 0 benchmarks, while o3 is better at 2 benchmarks (MathVista, MMMU).

o3 significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

o3 accepts 200,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while o3 is limited to 100,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and o3 support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while o3 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

o3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while o3 was released on 2025-04-16.

o3 is 4 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

o3

Apr 16, 2025

1.3 years ago

4mo newer

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek VL2's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

o3

May 2024

Provider Availability

DeepSeek VL2 is available from Replicate. o3 is available from OpenAI.

DeepSeek VL2

replicate logo
Replicate

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Has open weights
Larger context window (200,000 tokens)
Higher MathVista score (86.8% vs 62.8%)
Higher MMMU score (82.9% vs 51.1%)
DeepSeekDeepSeek VL2
OpenAIo3

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and o3 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
o3
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
OpenAI
o3

FAQ

Common questions about DeepSeek VL2 vs o3.

Which is better, DeepSeek VL2 or o3?

o3 significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and o3 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 o3 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

What are the context window sizes for DeepSeek VL2 and o3?

DeepSeek VL2 supports 129K tokens and o3 supports 200K 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 o3?

Key differences include context window (129K vs 200K), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and o3?

DeepSeek VL2 is developed by DeepSeek and o3 is developed by OpenAI.