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Gemini 2.5 Pro vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 807.5K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $9.95 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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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.
7 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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MiniMax M2.1
Input:$0.20
Output:$1.10($9.95 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Google Cloud Vertex AI
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MiniMax M2.1
1 providers
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Gemini 2.5 Pro
Avg Score:0.0%
Providers:2
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MiniMax M2.1
Avg Score:0.0%
Providers:1