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DeepSeek-V3 vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 17.2% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than DeepSeek-V3. Both models have similar pricing. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
16 days newer
DeepSeek-V3
DeepSeek
2024-12-25
DeepSeek-V3.1
DeepSeek
2025-01-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-V3
Average Score:49.8%(+17.2%)
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DeepSeek-V3.1
Average Score:32.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V3.1
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DeepSeek-V3
Avg Score:49.8%(+17.2%)
Providers:1
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DeepSeek-V3.1
Avg Score:32.6%
Providers:2