Comprehensive side-by-side LLM comparison
Minimax M 2.5 leads with 5.3% higher average benchmark score. GPT-5 offers 228.7K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $148.50 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, Minimax M 2.5 is the stronger choice for coding tasks.
OpenAI
GPT-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
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
OpenAI
2025-08-07
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
GPT-5
Minimax M 2.5
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-5
Minimax M 2.5
Performance comparison across key benchmark categories
GPT-5
Minimax M 2.5
GPT-5
2025-05
Available providers and their performance metrics
GPT-5
OpenAI
Minimax M 2.5
GPT-5
Minimax M 2.5
GPT-5
Minimax M 2.5
MiniMax