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GPT OSS 120B vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 32.1% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Llama 3.2 11B Instruct supports multimodal inputs. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
10 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
GPT OSS 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 120B
Input:$0.09
Output:$0.45
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.44 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 120B
Average Score:85.0%(+32.1%)
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Llama 3.2 11B Instruct
Average Score:52.9%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B 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 120B
5 providers
DeepInfra
Groq
Throughput: 500 tok/s
Latency: 0.5ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.5ms
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GPT OSS 120B
Avg Score:85.0%(+32.1%)
Providers:5
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Llama 3.2 11B Instruct
Avg Score:52.9%
Providers:6