Minimax Blog
MiniMax-M2.7 Explained: Features, Benchmarks, Access & Price
MiniMax-M2.7 is the evolution in MiniMax’s M2-series large language models (LLMs), designed for high-efficiency reasoning, coding, and agentic workflows. Building on the success of M2 and M2.5, it introduces improvements in batch generation, cost efficiency, and scalable API deployment (e.g., via CometAPI). It targets enterprise AI use cases including automation, multi-step reasoning, and large-scale content generation.
How to use MiniMax-M2.5 cheaply and Alternative to official
MiniMax-M2.5 is a step upgrade in the “agentic” / coding-first family of LLMs that landed in early 2026. It pushes both capability and throughput (notably better function-calling and multi-turn tool use), while the vendor advertises very aggressive cost figures for hosted usage. Still, teams that run high volume agent workloads can often reduce spend dramatically by combining (1) smarter prompt + architecture choices, (2) hybrid hosting or local inference for portions of the workload, and (3) switching some traffic to cheaper / aggregated API providers or open tooling such as OpenCode and CometAPI.
Qwen 3.5 vs Minimax M2.5 vs GLM 5: Which is Better in 2026
Qwen 3.5 targets large-scale, low-cost agentic multimodal workloads with a sparse Mixture-of-Experts (MoE) design and massive activated capacity; Minimax M2.5 emphasizes cost-efficient, realtime agent throughput at low running costs; GLM-5 focuses on heavy reasoning, long-context agents and engineering workflows via a very large MoE-style architecture optimized for token efficiency. The “best” depends on whether you prioritize raw reasoning/coding quality, agent throughput and cost, or open-source flexibility and long-context engineering workflows.
How to Use Minimax-2.5 API
MiniMax-M2.5 is a new, productivity-focused large language model from MiniMax that’s optimized for coding, agentic tool use, and office workflows. You can call it through its native MiniMax platform or through API aggregators such as CometAPI. You only need to obtain the CometAPI API key to use the API, as Minimax-M2.5 also supports the chat format.
MiniMax M2.5: Coding Benchmarks, Pricing, and Usage Guide
A comprehensively upgraded general-purpose model called MiniMax M2.5, announced by MiniMax and positioned as a model built specifically for agentic workflows, code generation, and “real-world productivity.” The company describes M2.5 as the result of extensive reinforcement-learning training in hundreds of thousands of complex environments, delivering major gains in coding benchmarks, tool use, and long-context reasoning while pushing inference efficiency and cost effectiveness.
MiniMax-M2.1: a deep dive into the agentic, coding-first model
MiniMax pushed a targeted but consequential update to its agent- and code-focused model family: MiniMax-M2.1. Marketed as an incremental, engineering-driven refinement of the widely-distributed M2 line, M2.1 is positioned to tighten MiniMax’s lead in open, agentic models for software engineering, multilingual development, and on-device or on-premise deployments. The release is incremental rather than revolutionary — but the combination of measurable benchmark gains, reduced latency in common workflows, and broad distribution channels makes it important to developers, enterprises, and infrastructure vendors alike.
MiniMax Music 2.0: what does it mean for AI music and Compare to Suno and udio
MiniMax — the Chinese AI lab (also known under product lines like Hailuo / MiniMax AI) — has quietly but decisively stepped into the thick of the AI-music race with the public release of MiniMax Music 2.0.
MiniMax Releases MiniMax Speech 2.6 — A Deep Dive into the New Speech Model
MiniMax announced MiniMax Speech 2.6, the company’s newest text-to-speech (TTS) / text-to-audio engine optimized for real-time voice agents, voice cloning,