Minimax
MiniMax M2.7
MiniMax-M2.7
Total Context
204.8K
Max Output
131.1K
Released
N/A
Input$0.3 / M tokens
Output$1.2 / M tokens
MiniMax M2.5
MiniMax-M2.5MiniMax M2.5 is positioned as a real-world productivity model trained in complex digital environments. Official materials describe advances in coding, agentic tool use, search, and office work, extending earlier coding strengths into Word, Excel, and PowerPoint-style tasks. Its unique angle is not raw language fluency, but the ability to operate across messy practical workflows.
Context Window
204.8K tokens
Maximum Output
131.1K tokens
Release Date
Feb 12, 2026
Modalities
MiniMax M2.5 Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.3/M | $1.2/M | $0.03/M |
MiniMax M2.5 API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Not supported
Knowledge Base
—
Endpoint Protocols
Completions APIMessages APIgemini
MiniMax M2.5 Model Highlights
MiniMax M2.5 is a text reasoning model optimized for multilingual software engineering, structured task planning and practical office workflows.
Architectural Code Planning
Decomposes requirements and plans features, project structure and interfaces before implementation, supporting coherent system development.
Multilingual Software Engineering
Training across numerous programming languages supports work throughout system design, implementation, feature iteration, review and testing.
Efficient Task Decomposition
Reinforcement-learning training improves how the model divides complex work and manages reasoning tokens during agentic workflows.
MiniMax M2.5 Use Cases
MiniMax M2.5 suits full-lifecycle software development, repository refactoring and structured office or financial analysis workflows.
Full-Lifecycle Development
Turn requirements into an architecture, establish the environment, implement features and continue through review and system testing.
Repository Refactoring
Analyze an existing project, prepare a structured modification plan and revise related files while retaining expected behavior.
Office and Financial Workflows
Organize source information into report structures, presentation content or financial-modeling steps for execution in office tools.
How to Use MiniMax M2.5 via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)MiniMax M2.5 Benchmarks
MiniMax-M2.5
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 33.7 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 37.4 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 84.8% |
| HLE | Broad expert-level exam set | 19.1% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 42.6% |
| Terminal-Bench Hard | Hard terminal task execution | 34.8% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 71.6% |
| AA-LCR | Long-context reasoning | 66% |
| τ²-Bench | Agent workflow tasks | 95.3% |
Metrics sourced from Artificial Analysis
MiniMax M2.5 FAQ
MiniMax M2.5: capabilities, use cases, limits, and TokenHub guidance.
What role does MiniMax M2.5 play?+
MiniMax M2.5 is a MiniMax model for coding, tool use, search, and office productivity.
What should I try first with MiniMax M2.5?+
Best for routine coding assistance, search agents and office productivity, especially when speed and cost efficiency is the priority.
Why choose MiniMax M2.5?+
Key strength: a broad mix of coding, tools, search, and office productivity.
What tradeoff comes with MiniMax M2.5?+
It belongs to an older generation and may lack newer capabilities. For the latest capabilities matter, consider MiniMax M2.7.
How should I start in TokenHub?+
Confirm TokenHub availability; prefer the current successor for new work.
Ready to use MiniMax M2.5?
Use one API key to access MiniMax M2.5 and more AI models through TokenHub.
Media and Discussions
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