Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 19.5% higher average benchmark score. GPT-4.1 nano offers 818.2K more tokens in context window than GPT OSS 20B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
3 months newer

GPT-4.1 nano
OpenAI
2025-04-14

GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)

GPT OSS 20B

GPT-4.1 nano
Context window and performance specifications
Average performance across 3 common benchmarks

GPT OSS 20B

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval

GPT OSS 20B

GPT-4.1 nano

GPT OSS 20B

GPT-4.1 nano

GPT-4.1 nano
OpenAI