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DeepSeek-R1-0528 vs DeepSeek-V2.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 4.7% higher average benchmark score. DeepSeek-R1-0528 offers 245.8K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $2.23 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 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-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek-R1-0528
DeepSeek
2025-05-28
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($2.23 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek-R1-0528
Average Score:32.1%
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DeepSeek-V2.5
Average Score:36.8%(+4.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:32.1%
Providers:3
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DeepSeek-V2.5
Avg Score:36.8%(+4.7%)
Providers:3