Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 34.8% higher average benchmark score. GPT-5 nano offers 388.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. 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.
Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
10 months newer

Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

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

GPT-5 nano

Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-5 nano

Qwen2.5 7B Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics

GPT-5 nano
OpenAI
ZeroEval


GPT-5 nano

Qwen2.5 7B Instruct

GPT-5 nano

Qwen2.5 7B Instruct
Qwen2.5 7B Instruct
Together