Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 22.2% higher average benchmark score. GPT-5 nano offers 388.7K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 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.
Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
10 months newer

Qwen2.5 72B 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 72B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-5 nano

Qwen2.5 72B Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics

GPT-5 nano
OpenAI
ZeroEval


GPT-5 nano

Qwen2.5 72B Instruct

GPT-5 nano

Qwen2.5 72B Instruct
Qwen2.5 72B Instruct
DeepInfra
Fireworks
Hyperbolic
Together