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DeepSeek-R1-0528 vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 27.5% higher average benchmark score. DeepSeek-R1-0528 is available on 3 providers. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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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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Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
3 months newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek-R1-0528
Average Score:29.1%
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Kimi K2-Instruct-0905
Average Score:56.6%(+27.5%)
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:29.1%
Providers:3
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Kimi K2-Instruct-0905
Avg Score:56.6%(+27.5%)
Providers:0