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Kimi K2 0905 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 41.1% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $2.90 cheaper per million tokens. Overall, Phi-3.5-mini-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-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.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Kimi K2 0905
Moonshot AI
2025-09-05
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 0905
Input:$0.60
Output:$2.50
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($2.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Kimi K2 0905
Average Score:15.8%
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Phi-3.5-mini-instruct
Average Score:56.9%(+41.1%)
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-mini-instruct
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Kimi K2 0905
Avg Score:15.8%
Providers:2
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Phi-3.5-mini-instruct
Avg Score:56.9%(+41.1%)
Providers:1