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DeepSeek-V3.2-Exp vs Gemini 2.5 Pro Preview 06-05
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 1.4% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 884.7K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $10.57 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
3 months newer
Gemini 2.5 Pro Preview 06-05
2025-06-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($10.57 cheaper)
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Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:45.7%
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Gemini 2.5 Pro Preview 06-05
Average Score:47.1%(+1.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
2025-01-31
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-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro Preview 06-05
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DeepSeek-V3.2-Exp
Avg Score:45.7%
Providers:2
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Gemini 2.5 Pro Preview 06-05
Avg Score:47.1%(+1.4%)
Providers:1