Model Comparison

DeepSeek R1 Zero vs o1

Both models are evenly matched across the benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Zero outperforms in 1 benchmarks (AIME 2024), while o1 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon May 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Mon May 04 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while o1 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

o1

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek R1 Zero is 1 month newer than o1.

DeepSeek R1 Zero

Jan 20, 2025

1.3 years ago

1mo newer
o1

Dec 17, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Has open weights
Higher AIME 2024 score (86.7% vs 74.3%)
Larger context window (200,000 tokens)
Higher GPQA score (78.0% vs 73.3%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
OpenAI
o1

FAQ

Common questions about DeepSeek R1 Zero vs o1.

Which is better, DeepSeek R1 Zero or o1?

Both models are evenly matched across the benchmarks. DeepSeek R1 Zero is made by DeepSeek and o1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to o1 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

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

DeepSeek R1 Zero supports an unknown number of tokens and o1 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 o1?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and o1?

DeepSeek R1 Zero is developed by DeepSeek and o1 is developed by OpenAI.