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DeepSeek-V3 0324 vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 34.3% higher average benchmark score. Both models have similar pricing. Overall, DeepSeek-V3.1 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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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.
2 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
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
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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DeepSeek-V3 0324
Average Score:20.7%
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DeepSeek-V3.1
Average Score:55.0%(+34.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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DeepSeek-V3.1
2 providers
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DeepSeek-V3 0324
Avg Score:20.7%
Providers:1
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DeepSeek-V3.1
Avg Score:55.0%(+34.3%)
Providers:2