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GPT OSS 20B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 10.0% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than GPT OSS 20B. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 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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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
4 months newer
Llama 4 Scout
Meta
2025-04-05
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($0.13 cheaper)
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Llama 4 Scout
Input:$0.08
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 20B
Average Score:78.4%(+10.0%)
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Llama 4 Scout
Average Score:68.4%
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:78.4%(+10.0%)
Providers:4
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Llama 4 Scout
Avg Score:68.4%
Providers:6