A truly powerful flagship AI model needs three core capabilities: robust Agent and coding skills, native multimodal understanding, and million-token context handling. MiniMax M3 is the first open-source model to integrate these three "puzzle pieces", revolutionizing how we approach AI-driven workflows — especially when combining multimodality with Agent capabilities to enable AI to actively participate in content production and complex task automation. This article dives into practical tests across five high-difficulty scenarios.
Test Environment Setup for Fair Comparisons
To ensure fairness, all models are integrated into the same Agent framework, OpenCode, with separate working directories for each. Domestic models (MiniMax M3, DeepSeek V4 Pro, etc.) are connected via official subscriptions, while overseas models (Claude Sonnet 4.6, GPT 5.5, etc.) use OpenRouter.
Scenario 1: 3D Maze Navigation with Three.js
This test evaluates maze generation, physics simulation, spatial reasoning, and camera control using Three.js:
Create a 3D maze with a moving ball using Three.js. All code in one HTML file. The maze must be complex and interactive (drag/scroll to adjust view).- Claude Sonnet 4.6: Fails due to insufficient context in both OpenCode and Claude Code.
- Claude Opus 4.8: Visually decent but has reversed left/right key controls.
- LMA 5.1: The ball gets stuck immediately.
- K2.6: Physics issues — erratic ball movement and excessive bouncing.
- DeepSeek V4 Pro: Slow movement and confused key controls.
- MiniMax M3 (Best Among Domestic Models): Clean scene, proper controls, and camera adjustments. Minor issue: reversed keys when the camera rotates 90°.
- GPT 5.5 (Overall Best): No major flaws, smooth interaction.
Scenario 2: 3D Pocket Watch Disassembly Animation
This tests the model's ability to create complex 3D models and animations:
- GPT 5.5 & MiniMax M3: Top performers with aesthetically pleasing dials and smooth disassembly animations, resembling professional product demos.
- DeepSeek V4 Pro: Solid performance among domestic models.
- Claude Series: Severe failures — Sonnet 4.6 produces an unrecognizable shape, and Opus 4.8 has reversed needle directions.
Scenario 3: HTML Animation for Step-by-Step Knowledge Graphs
Convert an infographic into a step-by-step HTML animation to sync with video explanations:
Split the infographic into sections, mask them, and reveal each section sequentially as per the narration. Output an HTML PPT.- Q 3.6 Plus: Fails to mask; redraws the image in HTML poorly.
- K2.6: Fixed mask positions with illogical reveal order.
- Claude Opus 4.8 & GPT 5.5: Masks are too noticeable, distracting viewers.
- MiniMax M3 & Claude Sonnet 4.6: Use background-matching masks. MiniMax M3's region division is the most logical, delivering the best result.
Scenario 4: Keyframe Extraction from Animated Videos
Extract precise keyframes from a fast-paced animation (each keyframe window is only 0.1 seconds):
- Q 3.6 Plus: Insufficient and inaccurately timed screenshots.
- K2.6, Claude Sonnet 4.6, Claude Opus 4.8: Decent completion but with minor motion blur.
- MiniMax M3 & GPT 5.5 (Top Performers): MiniMax M3 uses a two-step process — rough screenshotting to locate key moments, then fine-grained sampling to pick the perfect frame. Results are sharp with no blur. GPT 5.5 generates a frame gallery first, then selects the best frame.
Scenario 5: Building a Custom Computer-Use Agent
Create an Agent to control the computer via PyAutoGUI and MSS:
Build an Agent with mss and pyautogui to control the computer. It should take a task, screenshot, think, act, and repeat until completion.MiniMax M3 generates the Agent code. Testing the task "Open Chrome and search for MiniMax M3's latest model features": M3 opens Chrome, locates the search bar, inputs the query, expands "More Results" for deeper info, and outputs a precise summary — all without unnecessary actions.
We then package this Agent as a reusable Skill in OpenCode. Testing "Upload this project to GitHub via VS Code": the Agent completes the process step-by-step, successfully uploading the project.
Alternatively, use MiniMax's desktop client, MiniMax Code (a domestic alternative to Codex), which natively supports Computer-Use functionality — even operable via mobile devices.
Why MiniMax M3 Stands Out
- Coding & Agent Abilities: Handles complex programming tasks and automates workflows.
- Native Multimodality: Learns from text-visual mixed data natively (no reliance on external encoding/alignment layers), ensuring precise cross-modal understanding.
- Million-Token Context: Maintains coherence over extremely long inputs.
It's ideal for teams building multimodal automated workflows, Agent enthusiasts, and content creators exploring AI-driven "vibe coding" with zero-code experience.
常见问题
How does MiniMax M3's native multimodality differ from GPT-4o or Gemini?
Most multimodal models bolt a vision encoder onto a text LLM and align them through training. MiniMax M3 is trained on text-visual mixed data from the start — there's no separate encoder to align. This means less information loss when reasoning across modalities. In practice, M3 excels at tasks requiring precise spatial understanding (like the pocket watch animation where gear positions must be exact), while bolt-on architectures sometimes misalign visual and textual reasoning.
Can MiniMax M3 replace Claude Code or Codex for coding tasks?
For 3D graphics, animation, and multimodal coding tasks, M3 is genuinely competitive — often beating Claude Opus 4.8. For pure backend logic or text-only coding, GPT-5.5 and Claude Opus 4.8 still hold an edge. The best strategy is using M3 for multimodal-heavy tasks and your preferred coding model for everything else. M3's strength is the multimodal+agent combo, not raw text coding.
Is MiniMax Code a full Codex replacement?
MiniMax Code is positioned as a domestic Codex alternative with native Computer-Use support. It can control your desktop, browse the web, and execute tasks — all operable from mobile. While its plugin ecosystem is smaller than Codex's, the core Computer-Use functionality is production-ready and uniquely accessible via mobile.