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GPT-5 nano vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 22.9% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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.
29 days newer
GPT-5 nano
OpenAI
2025-08-07
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-5 nano
Average Score:77.3%(+22.9%)
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Kimi K2-Instruct-0905
Average Score:54.5%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:77.3%(+22.9%)
Providers:2
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Kimi K2-Instruct-0905
Avg Score:54.5%
Providers:0