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DeepSeek-V3.2 vs Gemini 2.5 Pro
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 872.2K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $9.88 cheaper per million tokens. Gemini 2.5 Pro 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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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
6 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
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($9.88 cheaper)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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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Gemini 2.5 Pro
2 providers
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1
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Gemini 2.5 Pro
Avg Score:0.0%
Providers:2