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GPT-5 Mini vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 228.7K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $23.50 cheaper per million tokens. GPT-5 Mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
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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-5 Mini
OpenAI
2025-08
Minimax M 2.5
MiniMax
2026-02-13
Pricing Comparison
Cost per million tokens (USD)
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GPT-5 Mini
Input:$5.00
Output:$20.00
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Minimax M 2.5
Input:$0.30
Output:$1.20($23.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Mini
1 providers
OpenAI
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Minimax M 2.5
1 providers
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GPT-5 Mini
Avg Score:0.0%
Providers:1
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Minimax M 2.5
Avg Score:0.0%
Providers:1