Model Comparison

DeepSeek-V3.1 vs o1-proWhich is better in 2026?

o1-pro significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3.1 vs o1-pro — which is better?

DeepSeek-V3.1 (by DeepSeek) and o1-pro (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-V3.1 outperforms in 0 benchmarks, while o1-pro is better at 2 benchmarks (AIME 2024, GPQA). o1-pro significantly outperforms across most benchmarks.

Choose DeepSeek-V3.1 if…

  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose o1-pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 0 benchmarks, while o1-pro is better at 2 benchmarks (AIME 2024, GPQA).

o1-pro significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o1-pro supports multimodal inputs, whereas DeepSeek-V3.1 does not.

o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.1

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while o1-pro uses a proprietary license.

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

DeepSeek-V3.1

MIT

Open weights

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while o1-pro was released on 2024-12-17.

DeepSeek-V3.1 is 1 month newer than o1-pro.

DeepSeek-V3.1

Jan 10, 2025

1.4 years ago

3w newer
o1-pro

Dec 17, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

o1-pro

Sep 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Has open weights
OpenAI
Supports multimodal inputs
Higher AIME 2024 score (86.0% vs 66.3%)
Higher GPQA score (79.0% vs 74.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
OpenAI
o1-pro

FAQ

Common questions about DeepSeek-V3.1 vs o1-pro.

Which is better, DeepSeek-V3.1 or o1-pro?

o1-pro significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and o1-pro is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.1 compare to o1-pro in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for DeepSeek-V3.1 and o1-pro?

DeepSeek-V3.1 supports 164K tokens and o1-pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.1 and o1-pro?

Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and o1-pro?

DeepSeek-V3.1 is developed by DeepSeek and o1-pro is developed by OpenAI.

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