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DeepSeek-V3.2 Thinking vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini offers 896.8K more tokens in context window than DeepSeek-V3.2 Thinking. GPT-4.1 mini is $0.74 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
5 months newer
GPT-4.1 mini
OpenAI
2025-04-14
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19
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GPT-4.1 mini
Input:$0.40
Output:$1.60($0.74 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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GPT-4.1 mini
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
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GPT-4.1 mini
Avg Score:0.0%
Providers:1