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DeepSeek VL2 vs o3-mini

Comparing DeepSeek VL2 and o3-mini across benchmarks, pricing, and capabilities.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek VL2 and o3-mini trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

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

Choose DeepSeek VL2

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

Choose o3-mini

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
129,280
200,000
Released
Dec 2024
Jan 2025
License
deepseek
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and o3-minidon'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

Context Window

Maximum input and output token capacity

o3-mini 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-mini is limited to 100,000 tokens.

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

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas o3-mini does not.

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

DeepSeek VL2

Text
Images
Audio
Video

o3-mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while o3-mini 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-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while o3-mini was released on 2025-01-30.

o3-mini is 2 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

o3-mini

Jan 30, 2025

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek VL2's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

o3-mini

Sep 2023

Provider Availability

DeepSeek VL2 is available from Replicate. o3-mini is available from Azure, OpenAI.

DeepSeek VL2

replicate logo
Replicate

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

DeepSeek VL2
✓ Preferred
o3-mini
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs o3-mini.

Which is better, DeepSeek VL2 or o3-mini?

DeepSeek VL2 (DeepSeek) and o3-mini (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 compare to o3-mini in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

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

DeepSeek VL2 supports 129K tokens and o3-mini 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-mini?

Key differences include context window (129K vs 200K), multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and o3-mini?

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