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DeepSeek-R1 vs o4 mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o4 mini offers 164.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $2.76 cheaper per million tokens. o4 mini supports multimodal inputs. 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 o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
2 months newer
DeepSeek-R1
DeepSeek
2025-01-20
o4 mini
OpenAI
2025-04-16
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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o4 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%
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o4 mini
Average Score:3.3%(+0.2%)
Performance comparison across key benchmark categories
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DeepSeek-R1
Agents3.1%
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o4 mini
Agents3.3%(+0.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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o4 mini
1 providers
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DeepSeek-R1
Avg Score:3.1%
Providers:1
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o4 mini
Avg Score:3.3%(+0.2%)
Providers:1