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DeepSeek R1 Zero vs o3

o3 leads the LLM Stats Score 31.1 to 16.0.

DeepSeek · OpenAI · Updated for 2026

Which is better?

o3 leads the overall LLM Stats Score 31.1 to 16.0, ranking #112 overall.

In the 2 individual benchmarks reported for both models, o3 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

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

Choose o3

  • overall performance matters — it scores 31.1 and ranks #112 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
16.0
#225
31.1
#112
16.3
#215
30.8
#113
4.3
#208
14.9
#129
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
o3
17.5#194
25.5#108
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 22 for o3

2 shared

DeepSeek R1 Zero outperforms in 0 benchmarks, while o3 is better at 2 benchmarks (AIME 2024, GPQA).

o3 significantly outperforms across most benchmarks.

Sat Sep 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3 specifies input context (200,000 tokens). Only o3 specifies output context (100,000 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

o3 supports multimodal inputs, whereas DeepSeek R1 Zero does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while o3 uses a proprietary license.

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

DeepSeek R1 Zero

MIT

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while o3 was released on 2025-04-16.

o3 is 3 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

o3

Apr 16, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Zero'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 R1 Zero's cutoff date.

DeepSeek R1 Zero

o3

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and o3 side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
o3
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs o3.

Which is better, DeepSeek R1 Zero or o3?

o3 leads the LLM Stats Score 31.1 to 16.0. DeepSeek R1 Zero is made by DeepSeek and o3 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to o3 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. 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 R1 Zero and o3?

DeepSeek R1 Zero supports an unknown number of 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 R1 Zero and o3?

Key differences include LLM Stats Score (16.0 vs 31.1), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and o3?

DeepSeek R1 Zero is developed by DeepSeek and o3 is developed by OpenAI.