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GPT OSS 20B vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 30.3% higher average benchmark score. GPT OSS 20B offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Both models have similar pricing. GPT OSS 20B is available on 4 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 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.22 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%(+30.3%)
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Llama 3.2 3B Instruct
Average Score:48.1%
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%(+30.3%)
Providers:4
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Llama 3.2 3B Instruct
Avg Score:48.1%
Providers:1