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Kimi K2 Instruct vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 40.8% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K 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 2025, it represents Moonshot AI's latest advancement in AI technology.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
10 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Kimi K2 Instruct
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 47 common benchmarks
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Kimi K2 Instruct
Average Score:53.9%(+40.8%)
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Phi-3.5-vision-instruct
Average Score:13.1%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Instruct
1 providers
Novita
Throughput: 45 tok/s
Latency: 0.95ms
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Phi-3.5-vision-instruct
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Kimi K2 Instruct
Avg Score:53.9%(+40.8%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:13.1%
Providers:0