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GPT OSS 20B vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 10.2% higher average benchmark score. GPT OSS 20B offers 6.1K more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. Llama 3.3 70B 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
8 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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($0.15 cheaper)
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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 20B
Average Score:78.4%(+10.2%)
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Llama 3.3 70B Instruct
Average Score:68.3%
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%(+10.2%)
Providers:4
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Llama 3.3 70B Instruct
Avg Score:68.3%
Providers:9