+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-5 nano vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 18.1% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than Kimi K2 Instruct. GPT-5 nano is $2.42 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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.
27 days newer
Kimi K2 Instruct
Moonshot AI
2025-07-11
GPT-5 nano
OpenAI
2025-08-07
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT-5 nano
Input:$0.05
Output:$0.40($2.42 cheaper)
+
+
+
+
Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
GPT-5 nano
Average Score:60.2%(+18.1%)
+
+
+
+
Kimi K2 Instruct
Average Score:42.0%
+
+
+
+
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
+
+
+
+
GPT-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
+
+
+
+
+
+
+
+
GPT-5 nano
Avg Score:60.2%(+18.1%)
Providers:2
+
+
+
+
Kimi K2 Instruct
Avg Score:42.0%
Providers:1