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GPT-4.1 mini vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
GPT-OSS-20B leads with 15.9% higher average benchmark score. GPT-4.1 mini offers 900.7K more tokens in context window than GPT-OSS-20B. GPT-4.1 mini is $Infinity cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-OSS-20B is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60($Infinity cheaper)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 mini
Average Score:64.2%
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GPT-OSS-20B
Average Score:80.1%(+15.9%)
Performance comparison across key benchmark categories
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GPT-4.1 mini
Science64.2%
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GPT-OSS-20B
Science80.1%(+15.9%)
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1 mini
1 providers
OpenAI
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GPT-OSS-20B
1 providers
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GPT-4.1 mini
Avg Score:64.2%
Providers:1
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GPT-OSS-20B
Avg Score:80.1%(+15.9%)
Providers:1