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DeepSeek-R1 vs GPT-5 Mini
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 296.8K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $22.26 cheaper per million tokens. GPT-5 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
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
6 months newer
DeepSeek-R1
DeepSeek
2025-01-20
GPT-5 Mini
OpenAI
2025-08
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($22.26 cheaper)
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GPT-5 Mini
Input:$5.00
Output:$20.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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GPT-5 Mini
1 providers
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DeepSeek-R1
Avg Score:0.0%
Providers:1
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GPT-5 Mini
Avg Score:0.0%
Providers:1