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GPT-OSS-20B vs o4 mini
Comprehensive side-by-side LLM comparison
o4 mini leads with 2.0% higher average benchmark score. o4 mini offers 167.9K more tokens in context window than GPT-OSS-20B. o4 mini is $Infinity cheaper per million tokens. o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
3 months newer
o4 mini
OpenAI
2025-04-16
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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o4 mini
Input:$1.10
Output:$4.40($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-OSS-20B
Average Score:1.3%
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o4 mini
Average Score:3.3%(+2.0%)
Performance comparison across key benchmark categories
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GPT-OSS-20B
Agents1.3%
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o4 mini
Agents3.3%(+2.0%)
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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o4 mini
1 providers
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GPT-OSS-20B
Avg Score:1.3%
Providers:1
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o4 mini
Avg Score:3.3%(+2.0%)
Providers:1