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Kimi K2 Instruct vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 28.1% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $2.67 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi K2 Instruct
Moonshot AI
2025-07-11
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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-3.5-mini-instruct
Input:$0.10
Output:$0.10($2.67 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Kimi K2 Instruct
Average Score:87.3%(+28.1%)
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Phi-3.5-mini-instruct
Average Score:59.2%
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-mini-instruct
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Kimi K2 Instruct
Avg Score:87.3%(+28.1%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:59.2%
Providers:1