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Kimi K2 Instruct vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 38.8% higher average benchmark score. 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 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
Kimi K2 Instruct
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 44 common benchmarks
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Kimi K2 Instruct
Average Score:57.6%(+38.8%)
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Phi 4 Reasoning
Average Score:18.8%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
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Kimi K2 Instruct
Avg Score:57.6%(+38.8%)
Providers:1
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Phi 4 Reasoning
Avg Score:18.8%
Providers:0