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GPT-OSS-120B vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
MiniMax M2.1 offers 68.6K more tokens in context window than GPT-OSS-120B. MiniMax M2.1 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
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MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
4 months newer
GPT-OSS-120B
OpenAI
2025-08
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-120B
Input:$Infinity
Output:$Infinity
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MiniMax M2.1
Input:$0.20
Output:$1.10($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-120B
1 providers
Hugging Face
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MiniMax M2.1
1 providers
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GPT-OSS-120B
Avg Score:0.0%
Providers:1
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MiniMax M2.1
Avg Score:0.0%
Providers:1