Model Comparison

DeepSeek-R1 vs o1

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

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and o1 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1 costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 27.3x cheaper than o1 ($15.00/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 27.4x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than DeepSeek-R1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 29 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1 accepts 200,000 input tokens compared to DeepSeek-R1's 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while o1 is limited to 100,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Sun Mar 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

o1

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek-R1 is 1 month newer than o1.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

1mo newer
o1

Dec 17, 2024

1.3 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

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. o1 is available from Azure, OpenAI.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (200,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
OpenAI
o1

FAQ

Common questions about DeepSeek-R1 vs o1

DeepSeek-R1 (DeepSeek) and o1 (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.
DeepSeek-R1 is 27.3x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. o1 costs $15.00/M input and $60.00/M output via azure.
DeepSeek-R1 supports 131K tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 200K), input pricing ($0.55 vs $15.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and o1 is developed by OpenAI.