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DeepSeek-V3.2 Thinking vs Gemini 2.5 Flash
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash offers 872.2K more tokens in context window than DeepSeek-V3.2 Thinking. Gemini 2.5 Flash is $1.99 cheaper per million tokens. Gemini 2.5 Flash 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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Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
3 months newer
Gemini 2.5 Flash
Google DeepMind
2025-06-17
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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Gemini 2.5 Flash
Input:$0.15
Output:$0.60($1.99 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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Gemini 2.5 Flash
2 providers
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
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Gemini 2.5 Flash
Avg Score:0.0%
Providers:2