Skip to main content
Kaino.dev
Discover
Evals
News
Academics
Kaino.dev

Discover, evaluate, and compare AI tools, models, and agents.

Explore

  • Discover
  • Evaluations
  • News
  • Academics

Community

  • Twitter
  • YouTube
  • Instagram
Privacy PolicyTerms of Service

© 2026 Kaino.dev. All rights reserved.

Version 1.1.0
MiniMax M2.5 · Discover · Kaino
Discover/MODELS/MiniMax M2.5
MiniMax M2.5 logo

MODELS

MiniMax M2.5

by MiniMax

modelllmMiniMax
Add to comparisonVisit WebsiteDocumentationGitHub

Overview

Coding- and agent-focused MiniMax text model with reasoning, tool use, high-throughput API variants, and open weights for local deployment.

Details

MiniMax M2.5 is presented by MiniMax as a text model focused on coding and agent workflows. The supplied official model page and ChatCompletion v2 API reference describe it as supporting reasoning and tool use, with high-throughput API variants and open weights for local deployment. Use the official MiniMax model page for product-level information and the MiniMax platform API reference for chat completion integration details.

When to Use

Use for coding-focused LLM evaluations where the supplied MiniMax source indicates coding is a primary focus. Use for agent-oriented workflows that need reasoning and tool-use support. Consider when comparing hosted high-throughput API access with open-weight local deployment options.

Getting Started

  1. Review the official MiniMax M2.5 model page: https://www.minimax.io/models/text
  2. Read the MiniMax ChatCompletion v2 API reference: https://platform.minimax.io/docs/api-reference/text/chatcompletion_v2
  3. Evaluate whether the high-throughput API variants or open-weight local deployment path best fits the intended use.

Key Features

  • •Coding-focused text model
  • •Agent-focused workflows
  • •Reasoning support
  • •Tool-use support
  • •High-throughput API variants
  • •Open weights for local deployment

Capabilities

  • •coding
  • •agent workflows
  • •reasoning
  • •tool use
  • •chat completion API
  • •local deployment

Last updated Jul 31, 2026