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DeepSeek-R1 vs o1 mini
Comprehensive side-by-side LLM comparison
DeepSeek-R1 leads with 2.4% higher average benchmark score. o1 mini offers 57.5K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $2.76 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
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OpenAI
OpenAI o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
4 months newer
o1 mini
OpenAI
2024-09-12
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($2.76 cheaper)
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o1 mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-R1
Average Score:3.1%(+2.4%)
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o1 mini
Average Score:0.7%
Performance comparison across key benchmark categories
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DeepSeek-R1
Agents3.1%(+2.4%)
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o1 mini
Agents0.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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o1 mini
1 providers
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DeepSeek-R1
Avg Score:3.1%(+2.4%)
Providers:1
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o1 mini
Avg Score:0.7%
Providers:1