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DeepSeek-R1-0528 vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 9.5% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 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-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
4 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek-R1-0528
Average Score:40.1%(+9.5%)
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Kimi-k1.5
Average Score:30.6%
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:40.1%(+9.5%)
Providers:3
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Kimi-k1.5
Avg Score:30.6%
Providers:0