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GPT OSS 20B vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 8.1% higher average benchmark score. o4-mini offers 37.9K more tokens in context window than GPT OSS 20B. GPT OSS 20B is $5.25 cheaper per million tokens. o4-mini supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
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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 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 20B
Input:$0.05
Output:$0.20($5.25 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 20B
Average Score:47.9%
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o4-mini
Average Score:56.0%(+8.1%)
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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 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:47.9%
Providers:4
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o4-mini
Avg Score:56.0%(+8.1%)
Providers:1