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GPT OSS 120B vs o4-mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o4-mini offers 37.9K more tokens in context window than GPT OSS 120B. GPT OSS 120B is $4.96 cheaper per million tokens. o4-mini supports multimodal inputs. GPT OSS 120B is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
3 months newer
o4-mini
OpenAI
2025-04-16
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($4.96 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT OSS 120B
Average Score:55.6%
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o4-mini
Average Score:56.0%(+0.3%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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:55.6%
Providers:5
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o4-mini
Avg Score:56.0%(+0.3%)
Providers:1