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GPT-OSS-20B vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
Minimax M 2.5 offers 72.0K more tokens in context window than GPT-OSS-20B. Minimax M 2.5 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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MiniMax
MiniMax M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
6 months newer
GPT-OSS-20B
OpenAI
2025-08-05
Minimax M 2.5
MiniMax
2026-02-13
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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Minimax M 2.5
Input:$0.30
Output:$1.20($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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Minimax M 2.5
1 providers
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GPT-OSS-20B
Avg Score:0.0%
Providers:1
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Minimax M 2.5
Avg Score:0.0%
Providers:1