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DeepSeek-V3.1 vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 20.8% higher average benchmark score. DeepSeek-V3.1 offers 286.7K more tokens in context window than Gemini 1.0 Pro. DeepSeek-V3.1 is $0.73 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
11 months newer
Gemini 1.0 Pro
2024-02-15
DeepSeek-V3.1
DeepSeek
2025-01-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.73 cheaper)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek-V3.1
Average Score:38.9%(+20.8%)
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Gemini 1.0 Pro
Average Score:18.1%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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-V3.1
2 providers
DeepInfra
Novita
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Gemini 1.0 Pro
1 providers
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DeepSeek-V3.1
Avg Score:38.9%(+20.8%)
Providers:2
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Gemini 1.0 Pro
Avg Score:18.1%
Providers:1