Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 30.3% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than Gemma 3 12B. Both models have similar pricing. Overall, GPT-5 nano is the stronger choice for coding tasks.
Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
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.
4 months newer

Gemma 3 12B
2025-03-12

GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)

Gemma 3 12B

GPT-5 nano
Context window and performance specifications
Average performance across 1 common benchmarks

Gemma 3 12B

GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

GPT-5 nano

Gemma 3 12B

GPT-5 nano

Gemma 3 12B

GPT-5 nano
OpenAI
ZeroEval