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GPT OSS 120B vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 11.2% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than GPT OSS 120B. GPT OSS 120B is $1.46 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. 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
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
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($1.46 cheaper)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT OSS 120B
Average Score:64.2%(+11.2%)
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GPT-4.1 mini
Average Score:53.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 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:64.2%(+11.2%)
Providers:5
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GPT-4.1 mini
Avg Score:53.0%
Providers:2