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GPT OSS 120B vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 28.3% higher average benchmark score. GPT-4.1 nano offers 818.2K more tokens in context window than GPT OSS 120B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
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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 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 120B
Input:$0.09
Output:$0.45
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GPT-4.1 nano
Input:$0.10
Output:$0.40($0.04 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT OSS 120B
Average Score:79.3%(+28.3%)
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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 120B
5 providers
DeepInfra
Groq
Throughput: 500 tok/s
Latency: 0.5ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.5ms
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GPT OSS 120B
Avg Score:79.3%(+28.3%)
Providers:5
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GPT-4.1 nano
Avg Score:51.0%
Providers:1