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Kimi-k1.5 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 27.8% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 39 common benchmarks
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Kimi-k1.5
Average Score:18.9%
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Phi-3.5-mini-instruct
Average Score:46.7%(+27.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Kimi-k1.5
Avg Score:18.9%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:46.7%(+27.8%)
Providers:1