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Kimi K2 Instruct vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 27.4% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $2.72 cheaper per million tokens. Phi-4-multimodal-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-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 2025, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Kimi K2 Instruct
Moonshot AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($2.72 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 53 common benchmarks
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Kimi K2 Instruct
Average Score:47.8%(+27.4%)
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Phi-4-multimodal-instruct
Average Score:20.4%
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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-4-multimodal-instruct
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Kimi K2 Instruct
Avg Score:47.8%(+27.4%)
Providers:1
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Phi-4-multimodal-instruct
Avg Score:20.4%
Providers:1