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GPT OSS 120B vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 22.4% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Llama 3.1 70B Instruct is available on 9 providers. 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 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
1 year newer
Llama 3.1 70B Instruct
Meta
2024-07-23
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 3.1 70B Instruct
Input:$0.20
Output:$0.20($0.14 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%(+22.4%)
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Llama 3.1 70B Instruct
Average Score:62.6%
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%(+22.4%)
Providers:5
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Llama 3.1 70B Instruct
Avg Score:62.6%
Providers:9