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Gemini 2.5 Pro vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 804.1K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $9.75 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 M2.5 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.
8 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
Minimax M 2.5
MiniMax
2026-02-13
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 M 2.5
Input:$0.30
Output:$1.20($9.75 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 M 2.5
1 providers
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Gemini 2.5 Pro
Avg Score:0.0%
Providers:2
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Minimax M 2.5
Avg Score:0.0%
Providers:1