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DeepSeek-R1 vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 offers 65.5K more tokens in context window than DeepSeek-R1. DeepSeek-V3.1 is $1.47 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 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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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.
10 days newer
DeepSeek-V3.1
DeepSeek
2025-01-10
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($1.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-R1
Average Score:0.0%
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DeepSeek-V3.1
Average Score:58.4%(+58.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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DeepSeek-V3.1
Avg Score:58.4%(+58.4%)
Providers:2