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GPT-4.1 nano vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 29.8% higher average benchmark score. GPT-4.1 nano offers 818.2K more tokens in context window than Kimi K2 Instruct. GPT-4.1 nano is $2.37 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, Kimi K2 Instruct 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 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.
2 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Kimi K2 Instruct
Moonshot AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40($2.37 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
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
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
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GPT-4.1 nano
Avg Score:43.2%
Providers:1
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Kimi K2 Instruct
Avg Score:73.0%(+29.8%)
Providers:1