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GPT OSS 120B vs o1-mini
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 12.5% higher average benchmark score. GPT OSS 120B offers 68.6K more tokens in context window than o1-mini. GPT OSS 120B is $14.46 cheaper per million tokens. GPT OSS 120B is available on 5 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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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
10 months newer
o1-mini
OpenAI
2024-09-12
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($14.46 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 120B
Average Score:85.0%(+12.5%)
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o1-mini
Average Score:72.6%
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%(+12.5%)
Providers:5
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o1-mini
Avg Score:72.6%
Providers:2