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DeepSeek-V3.2 Thinking vs Gemini 3.1 Pro
Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 7.5% higher average benchmark score. Gemini 3.1 Pro offers 978.1K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $11.26 cheaper per million tokens. Gemini 3.1 Pro supports multimodal inputs. Overall, Gemini 3.1 Pro is the stronger choice for coding tasks.
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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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Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
4 months newer
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Gemini 3.1 Pro
Google DeepMind
2026-02-19
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19($11.26 cheaper)
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Gemini 3.1 Pro
Input:$2.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2 Thinking
Average Score:73.1%
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Gemini 3.1 Pro
Average Score:80.6%(+7.5%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2 Thinking
Coding73.1%
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Gemini 3.1 Pro
Coding80.6%(+7.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 3.1 Pro
2025-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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Gemini 3.1 Pro
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:73.1%
Providers:1
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Gemini 3.1 Pro
Avg Score:80.6%(+7.5%)
Providers:1