Key Takeaways
- MiniMax M3.1 Flash is the official name of the stealth model teased as Space Bunny by MiniMax, announced on October 19, 2026.
- It is a multimodal model with a 1M-token context window, aimed at complex task automation, coding and computer operation.
- Access is through the MiniMax API: pick the model on the official site, issue an API key, and connect it to MiniMax Code or MiniMax Design.
- Community reports mention roughly $0.165 per million input tokens and $0.66 per million output tokens, but this pricing is unverified, so confirm it on the official site.
Quick Facts
| Type | Multimodal AI model with API access |
|---|---|
| Devices | Cloud API; usable from any connected device |
| Price | Community-reported rates; verify on official site |
| Languages | Not officially confirmed; check the official site |
| Highlight | 1M-token context for coding and automation |
| Learning curve | Moderate; API key and prompt setup required |
| Category | AI & Models |
| Creator | MiniMax (official) |
| Official site | minimax.io ↗ |
| Heat | 🔥 883.2K Heat |
| Last updated |
Space Bunny Unmasked: What MiniMax M3.1 Flash Actually Is
MiniMax M3.1 Flash is a general-purpose multimodal AI model from MiniMax, the company behind a family of products serving over 300 million users. It was announced on October 19, 2026, and it is the model that had been teased under the codename Space Bunny. The teaser text welcomed users back and promised that MiniMax-M3.1-Flash was coming, which confirmed the connection between the playful name and the real release.
The model is described as open-weight, meaning the underlying weights are intended to be available rather than locked behind a single closed service. It supports a 1M-token context window, which is large enough to hold entire codebases, long documents or extended multi-step task histories in a single pass. MiniMax positions it for complex task automation, coding and computer operation rather than simple chat.
What makes it notable right now is that developers have already been testing it through the API, even before a dedicated product page exists. Early community reports focus on its low-cost workflow potential and its ability to handle visual, script and narration generation in one pass. If you follow AI releases, this is one of the more interesting multimodal coding models to appear recently.
- Open-weight positioning
MiniMax describes M3.1 Flash as open-weight, which suggests broader access than a purely closed API model. Check the official site for the exact license and download terms.
- 1M-token context
A million-token window lets you feed in large repositories or long documents without chunking. This is the headline spec that separates it from smaller-context models.
- Multimodal by design
It handles more than text, with early reports mentioning visual, script and narration generation in a single pass. That makes it useful for content pipelines, not just code.
- Built for agents
MiniMax frames it for computer operation and multi-step planning, with agents that can auto-assemble teams for complex tasks. This is aimed at automation workflows.
How the API, Coding Mode and Work Mode Fit Together
Access to MiniMax M3.1 Flash is through the MiniMax API. The documented flow is straightforward: select the model on the official site, obtain an API key, then connect that key to MiniMax Code or MiniMax Design. MiniMax Code is the hands-on coding environment, while MiniMax Design is oriented toward finished deliverables. Both act as front ends that call the model.
Inside those tools, the model offers two practical modes. Coding Mode is for hands-on code work, where you interact with files, run prompts and iterate. Work Mode is for producing finished deliverables, where the model is expected to complete a task end to end rather than just suggest snippets. The distinction matters because it changes how much supervision you need.
The agent layer is what ties it together. MiniMax describes agents that auto-assemble teams for multi-step planning, meaning the model can break a larger goal into subtasks and coordinate them. In practice, you describe the outcome you want, and the system plans and executes across steps. This is the part that makes M3.1 Flash feel less like a chatbot and more like an automation engine.
- Coding Mode
Best for interactive development where you want to inspect and steer changes. Use it when you need control over each edit rather than a finished artifact.
- Work Mode
Best for deliverables where the model completes the task for you. Use it for reports, scripts or assets that you will review at the end.
- Agent team assembly
The model can split a multi-step goal into subtasks and coordinate them automatically. This reduces manual planning but still needs clear success criteria from you.
- Front-end choice
MiniMax Code and MiniMax Design are the two documented entry points. Pick based on whether your output is code or a finished asset.
Getting Started: From API Key to First Working Prompt
The practical starting point is the official site, minimax.io. There is no dedicated page for MiniMax M3.1 Flash yet, so you will be working from the general MiniMax platform. Begin by selecting the model where available, then issue an API key from your account. Treat the key like a password, since it authorizes usage that may be billed.
Once you have the key, connect it to MiniMax Code if your goal is development, or MiniMax Design if your goal is a finished deliverable. Start with a small, well-scoped task so you can judge latency and output quality before committing to a large workflow. A narrow first prompt also makes it easier to spot when the model misunderstands your intent.
Before you scale up, verify current pricing on the official page. Community reports mention roughly $0.165 per million input tokens and $0.66 per million output tokens, but this is unconfirmed and may change. Because a 1M-token context can consume a lot of tokens quickly, set a budget and monitor usage. If you plan to subscribe, confirm the terms directly rather than relying on secondhand figures.
- Start small
Run a single focused prompt before building a multi-step agent workflow. This reveals latency and quality without burning a large token budget.
- Watch token usage
Long contexts are powerful but expensive if pricing is per token. Keep an eye on how much you send in each request.
- Confirm pricing officially
The reported rates are community figures, not confirmed rates. Check the official site before you commit to a subscription or heavy usage.
- Secure your key
Store the API key in environment variables or a secrets manager. Do not paste it into shared code or public repositories.
Where It Shines, How It Compares and What Remains Unclear
MiniMax M3.1 Flash looks strongest for coding and automation tasks that benefit from a very large context. If you work with big repositories, long specifications or multi-step operational workflows, the 1M-token window is a real advantage. The multimodal angle also helps for pipelines that combine visuals, scripts and narration, since you can generate several asset types in one pass instead of stitching tools together.
Compared with typical general-purpose chat models, M3.1 Flash is positioned more toward agents and computer operation than conversation. Compared with other large-context coding models, its reported low cost is the main draw, though that pricing is not officially confirmed. The open-weight framing also matters if you care about deployment flexibility, but the exact license and availability still need to be checked.
Several things remain open. There is no dedicated product page yet, so feature lists, supported languages and limits are not fully documented in one place. The pricing is community-reported. The practical ceiling of the 1M context, and how well the agent team assembly works on messy real-world tasks, are things only hands-on testing will reveal. If you are evaluating it, run a representative task and compare it against whatever model you already use.
- Best fit
Developers and teams doing large-context coding, automation or multimodal content pipelines. It is less suited to casual chat use.
- Cost comparison
Reported rates are low, but unverified. Compare against your current model on a real task before switching workflows.
- Open questions
License terms, supported languages and hard limits are not fully documented yet. Check the official site for updates.
- Who should wait
If you need guaranteed SLAs or documented enterprise terms, wait for a dedicated page or official documentation before committing.
Step-by-Step Guide
Check the official site first
Go to minimax.io and look for MiniMax M3.1 Flash in the model listings. There is no dedicated page for it yet, so availability may be limited or changing. Confirm the model is selectable before planning a workflow around it.
Create an account and issue an API key
Sign in to the MiniMax platform and generate an API key from your account settings. Store it securely, ideally in an environment variable rather than in your source code. This key is what authorizes your requests.
Connect the key to MiniMax Code or MiniMax Design
Choose MiniMax Code for hands-on development or MiniMax Design for finished deliverables. Paste your key into the connection settings for that tool. This links your account to the model so prompts can be processed.
Run a small test prompt
Start with one focused task, such as summarizing a file or generating a short script. This lets you judge speed and quality before scaling up. Adjust your prompt wording based on the first result.
Verify pricing and scale carefully
Before heavy use, confirm current rates on the official site, since community figures are unconfirmed. Set a spending limit and monitor token usage. Then expand to multi-step agent workflows once you trust the output.
Frequently Asked Questions
What is MiniMax M3.1 Flash and who made it?
MiniMax M3.1 Flash is a multimodal AI model from MiniMax, announced on October 19, 2026. It is the model that had been teased under the codename Space Bunny. MiniMax describes it as open-weight and built for complex task automation, coding and computer operation, with a 1M-token context window.
How do I access MiniMax M3.1 Flash?
Access is through the MiniMax API. Select the model on the official site, minimax.io, obtain an API key, then connect it to MiniMax Code or MiniMax Design. There is no dedicated product page for the model yet, so check the official site for current availability and setup instructions.
How much does MiniMax M3.1 Flash cost?
Community reports mention roughly $0.165 per million input tokens and $0.66 per million output tokens, but this pricing is unconfirmed. Rates can change, and a 1M-token context can consume tokens quickly. Verify current pricing on the official MiniMax site before subscribing or running large workloads.
What is the 1M-token context good for?
A 1M-token context window lets the model process very large inputs in one pass, such as entire codebases, long specifications or extended task histories. That reduces the need to chunk documents and helps with multi-step agent workflows. The practical limits of that window are best tested on your own representative tasks.
Is MiniMax M3.1 Flash better than other coding models?
It is positioned for large-context coding, automation and multimodal generation, with reported low costs as a main draw. However, pricing is unverified and there is no dedicated documentation page yet. The fairest comparison is to run the same real task through M3.1 Flash and your current model, then compare quality, speed and cost.
