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DeepSeek-V2.5 vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 14.4% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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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.
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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.
8 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
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-V2.5
Average Score:46.4%(+14.4%)
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:46.4%(+14.4%)
Providers:3
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Kimi-k1.5
Avg Score:32.0%
Providers:0