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DeepSeek R1 Distill Qwen 1.5B vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 49.8% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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.
Launched on the same date
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Kimi-k1.5
Moonshot AI
2025-01-20
Average performance across 11 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:17.0%
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Kimi-k1.5
Average Score:66.9%(+49.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Kimi-k1.5
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:17.0%
Providers:0
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Kimi-k1.5
Avg Score:66.9%(+49.8%)
Providers:0