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DeepSeek-V3 vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 26.4% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
26 days newer
DeepSeek-V3
DeepSeek
2024-12-25
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek-V3
Average Score:58.4%(+26.4%)
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Kimi-k1.5
Average Score:32.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Kimi-k1.5
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DeepSeek-V3
Avg Score:58.4%(+26.4%)
Providers:1
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Kimi-k1.5
Avg Score:32.0%
Providers:0