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DeepSeek-V3.2 vs GPT-5 Mini
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 296.8K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $23.63 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-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks 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.
4 months newer
GPT-5 Mini
OpenAI
2025-08
DeepSeek-V3.2
DeepSeek
2025-12-01
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2
Input:$0.27
Output:$1.10($23.63 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-V3.2
1 providers
DeepSeek
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GPT-5 Mini
1 providers
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1
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GPT-5 Mini
Avg Score:0.0%
Providers:1