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GPT-4.1 nano vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 29.8% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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Moonshot AI
Kimi K2 Instruct-0905 represents a specific release iteration of the K2 Instruct model, developed to incorporate refinements and improvements. Built to provide enhanced instruction-following based on deployment feedback, it continues the evolution of Moonshot's instruction-tuned offerings.
4 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-4.1 nano
Average Score:43.2%
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Kimi K2-Instruct-0905
Average Score:73.0%(+29.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Kimi K2-Instruct-0905
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GPT-4.1 nano
Avg Score:43.2%
Providers:1
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Kimi K2-Instruct-0905
Avg Score:73.0%(+29.8%)
Providers:0