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MiniMax M3 Review

MiniMax M3 is an AI model developed by the Chinese company MiniMax, integrating advanced coding and agentic functions with native multimodality.

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MiniMax M3 — product screenshot

Why it matters

1Features a 1 million token context window for extensive data processing.
2Released on June 1, 2026, as an open-weight model with API availability.
3Reportedly outperforms GPT-4.5/5.5 and Gemini 2.5 Pro/3.1 Pro on the SWEbench Pro benchmark.
4Offers native multimodality, processing text, image, and video inputs.

Stork’s verdict on MiniMax M3

MiniMax M3 provides a 1 million token context window for agents, yet its coding performance trails top models like Claude Opus.

MiniMax M3 reviewed by Stork AI · stork.ai/en/minimax-m3

overview

What is MiniMax M3?

MiniMax M3 is a frontier-level, open-weight, coding-focused, natively multimodal large language model developed by MiniMax that enables software engineers, developers, researchers, and creative professionals to perform autonomous software engineering tasks, agentic workflows, and multimodal understanding. It features a 1 million token context window and was officially released on June 1, 2026.

features

Key Features of MiniMax M3

MiniMax M3 integrates several advanced capabilities designed for complex AI applications, particularly in software engineering and autonomous agentic tasks. Its architecture supports extensive context windows and native multimodal processing.

  • Open-weight model architecture, with plans for open-source licensing and weights.
  • 1 million token context window for processing large codebases and documents.
  • Native multimodality, capable of understanding text, image, and video inputs.
  • High performance on the SWE-Bench Pro benchmark for real-world coding tasks.
  • Demonstrated high performance on Terminal-Bench 2.1.
  • Achieved high performance on SWE-fficiency metrics.
  • API availability for developers to integrate M3 into custom applications.
  • Designed for autonomous agentic workflows, including complex multi-turn collaborations.
  • Supports long-horizon coding tasks, potentially spanning over 8 hours.

use cases

Who Should Use MiniMax M3?

MiniMax M3 is primarily designed for professionals requiring advanced AI capabilities in software development, autonomous systems, and multimodal data analysis. Its robust features cater to demanding technical and creative workflows.

  • Software Engineers: For automated code review, bug triage and debugging, large-scale refactoring, legacy code documentation, and test generation.
  • AI Agent Developers: For building complex multi-turn coding collaboration agents and systems capable of operating a desktop computer.
  • Researchers: As a research copilot for handling papers, formulas, figures, logs, and code in scientific and technical domains.
  • Designers and Creative Professionals: For analyzing UI screenshots, reviewing app designs, interpreting charts, and processing long-form video content (up to 30 minutes).

how to use

How to Use MiniMax M3

To utilize MiniMax M3, developers can access its capabilities through its API, integrating it into existing development environments and workflows. The model supports various input types and is designed for autonomous task execution.

  • 1Obtain API access to MiniMax M3 through the MiniMax developer platform.
  • 2Integrate the M3 API into existing development environments or custom applications for coding tasks.
  • 3Submit multimodal inputs, including text, images, and video, to M3 for comprehensive analysis.
  • 4Develop and deploy autonomous agents leveraging M3's agentic functions for complex, multi-stage workflows.
  • 5Utilize M3 for long-horizon software engineering projects, such as extensive code review or refactoring initiatives.

pricing

MiniMax M3 Pricing & Plans

MiniMax M3 operates on a freemium model, offering API-based pricing with distinct rates for input and output tokens, alongside a tiered token plan. Promotional rates are available for initial usage.

  • Freemium model: Basic access and capabilities may be available without direct cost.
  • API Promotional Rate: $0.30 per 1 million input tokens and $1.20 per 1 million output tokens.
  • API Standard Rate: $0.60 per 1 million input tokens and $2.40 per 1 million output tokens.
  • Long-Context Rate: For inputs exceeding 512K tokens, the entire request is billed at twice the standard rate.
  • MiniMax Token Plan: M3 is included across the three tiers of the MiniMax Token Plan, with specific details varying by tier.

Pros

  • +Open-weight model architecture with planned open-source licensing and full enterprise customizability.
  • +Features a massive 1 million token context window for processing extensive data and codebases.
  • +Offers native multimodality, capable of understanding and processing text, image, and video inputs.
  • +Demonstrates strong performance on SWEbench Pro, reportedly outperforming GPT-4.5/5.5 and Gemini 2.5 Pro/3.1 Pro.
  • +Provides significantly lower API pricing compared to leading proprietary frontier models.
  • +Designed for autonomous agentic workflows and excels in long-horizon software engineering tasks.

Cons

  • Users have noted that M3 can be slower in execution compared to its predecessor, M2.7 HighSpeed.
  • Token plan limits can be reached quickly, particularly when engaging in tasks involving image or song generation.
  • User experiences with its coding abilities are mixed, with some describing it as 'pretty bad' for certain coding tasks.
  • While highly competitive, it still trails Claude Opus 4.8 on the SWE-Bench Pro benchmark (59.0% for M3 vs. 69.2% for Opus 4.8).
  • As a recently released model (June 1, 2026), its long-term stability, community support, and ecosystem integrations are still developing.

Similar Tools

MiniMax M3 vs Competitors

MiniMax M3 is positioned as a frontier-level open-weight model, aiming to compete with leading closed-source models by combining advanced coding, agentic capabilities, and native multimodality at a competitive cost.

1

Claude Opus is Anthropic's most capable model, excelling in highly autonomous agentic work, complex coding, and long-horizon project orchestration.

Claude Opus offers top-tier coding and agentic reliability, often serving as a benchmark for models like MiniMax M3, but typically comes with premium pricing compared to M3's more competitive open-weights model pricing.

2

OpenAI Codex, powered by GPT-5.5, provides a comprehensive coding agent platform with strong code quality, multi-agent execution, and deep integration across various development environments.

While MiniMax M3 has shown to surpass GPT-5.5 on some coding benchmarks like SWE-Bench Pro, OpenAI's offering through Codex provides extensive ecosystem integration and robust multi-agent capabilities for high-quality code generation and review.

3
Gemini CLI (Google DeepMind)

Gemini CLI is an AI-powered assistant integrated directly into the terminal, leveraging Gemini's capabilities for natural language code generation, script assistance, and automation of development tasks.

Gemini CLI focuses on terminal-first agentic coding and is available with a free tier, directly competing with MiniMax M3's agentic functions, though M3 aims for broader multimodal and long-context capabilities.

4

DeepSeek V4 Pro is an open-weight Mixture-of-Experts model optimized for advanced reasoning, coding, and long-horizon agent workflows, demonstrating strong performance on software engineering benchmarks.

Similar to MiniMax M3, DeepSeek V4 Pro is an open-weight model with a focus on coding and agentic tasks, and it offers a cheap hosted API, providing a cost-effective alternative for developers.

5

Kimi K2.7 Code is an open-weight model specifically built for software engineering tasks, prioritizing coding efficiency, lower reasoning costs, and agent workflows.

Kimi K2.7 Code is a strong competitor for coding-centric agentic tasks, whereas MiniMax M3 takes a more ambitious route by combining coding with multimodal reasoning and massive context windows for broader AI agent capabilities.

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