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GPT OSS 20B vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 28.5% higher average benchmark score. Both models have similar pricing. Llama 3.1 8B Instruct is available on 9 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 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 year newer
Llama 3.1 8B Instruct
Meta
2024-07-23
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
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($0.19 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 20B
Average Score:78.4%(+28.5%)
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Llama 3.1 8B Instruct
Average Score:49.9%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
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:78.4%(+28.5%)
Providers:4
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Llama 3.1 8B Instruct
Avg Score:49.9%
Providers:9