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MiniMax M2.1 vs o1 mini
Comprehensive side-by-side LLM comparison
MiniMax M2.1 offers 7.2K more tokens in context window than o1 mini. MiniMax M2.1 is $4.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
OpenAI o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
1 year newer
o1 mini
OpenAI
2024-09-12
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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MiniMax M2.1
Input:$0.20
Output:$1.10($4.20 cheaper)
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o1 mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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MiniMax M2.1
1 providers
MiniMax
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o1 mini
1 providers
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MiniMax M2.1
Avg Score:0.0%
Providers:1
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o1 mini
Avg Score:0.0%
Providers:1