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GPT OSS 20B vs GPT-4.1 nano
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.
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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.
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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
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 20B
Input:$0.05
Output:$0.20($0.25 cheaper)
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GPT-4.1 nano
Input:$0.10
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT OSS 20B
Average Score:70.5%(+19.5%)
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GPT-4.1 nano
Average Score:51.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:70.5%(+19.5%)
Providers:4
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GPT-4.1 nano
Avg Score:51.0%
Providers:1