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DeepSeek-R1 vs o1-pro

Comparing DeepSeek-R1 and o1-pro across benchmarks, pricing, and capabilities.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-R1 and o1-pro trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose DeepSeek-R1

  • 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

  • you are already invested in the OpenAI ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
Released
Jan 2025
Dec 2024
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and o1-prodon'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

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o1-pro supports multimodal inputs, whereas DeepSeek-R1 does not.

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

DeepSeek-R1

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 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-R1

MIT

Open weights

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while o1-pro was released on 2024-12-17.

DeepSeek-R1 is 1 month newer than o1-pro.

DeepSeek-R1

Jan 20, 2025

1.6 years ago

1mo newer
o1-pro

Dec 17, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while DeepSeek-R1'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-R1's cutoff date.

DeepSeek-R1

o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-R1 and o1-pro side-by-side, then vote on the output you prefer.

DeepSeek-R1
✓ Preferred
o1-pro
Open in Playground

FAQ

Common questions about DeepSeek-R1 vs o1-pro.

Which is better, DeepSeek-R1 or o1-pro?

DeepSeek-R1 (DeepSeek) and o1-pro (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-R1 compare to o1-pro in benchmarks?

o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for DeepSeek-R1 and o1-pro?

DeepSeek-R1 supports 131K 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-R1 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-R1 and o1-pro?

DeepSeek-R1 is developed by DeepSeek and o1-pro is developed by OpenAI.