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Kimi K2 0905 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 7.4% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Kimi K2 0905 is available on 2 providers. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. 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.
1 year newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Kimi K2 0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Kimi K2 0905
Average Score:33.6%
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Phi-3.5-vision-instruct
Average Score:41.0%(+7.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 0905
2 providers
Novita
ZeroEval
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Phi-3.5-vision-instruct
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Kimi K2 0905
Avg Score:33.6%
Providers:2
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Phi-3.5-vision-instruct
Avg Score:41.0%(+7.4%)
Providers:0