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DeepSeek-V3 0324 vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 6.4% higher average benchmark score. DeepSeek-V3 0324 offers 286.7K more tokens in context window than Gemini 1.0 Pro. DeepSeek-V3 0324 is $0.58 cheaper per million tokens. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
DeepSeek-V3 0324
DeepSeek
2025-03-25
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3 0324
Input:$0.28
Output:$1.14($0.58 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 13 common benchmarks
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DeepSeek-V3 0324
Average Score:27.1%
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Gemini 1.0 Pro
Average Score:33.5%(+6.4%)
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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 0324
1 providers
Novita
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Gemini 1.0 Pro
1 providers
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DeepSeek-V3 0324
Avg Score:27.1%
Providers:1
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Gemini 1.0 Pro
Avg Score:33.5%(+6.4%)
Providers:1