+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-5 nano vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 23.1% 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.
+
+
+
+
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 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
27 days newer
Kimi K2 Base
Moonshot AI
2025-07-11
GPT-5 nano
OpenAI
2025-08-07
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GPT-5 nano
Average Score:71.2%(+23.1%)
+
+
+
+
Kimi K2 Base
Average Score:48.1%
+
+
+
+
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:71.2%(+23.1%)
Providers:2
+
+
+
+
Kimi K2 Base
Avg Score:48.1%
Providers:0