MiniMax-AI / MiniMax-AI/MiniMax-M3
[M3 Bug] M3 stops doing its job suddenly
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Description
Hi,
I'm a paying subscriber and I'm running into a consistent behavior issue with the MiniMax M3 model that effectively blocks me from using it for real coding work.
The pattern: When I give M3 a multi-step task (e.g. "add X to state, refactor Y, update UI for Z, auto-apply discount from W"), the model:
- Outlines a full plan ("Now I will: 1… 2… 3… 4…")
- Executes only the first 1–2 steps
- Stops with a "concluding with 2 steps ..." checkpoint
- Says something like "Now I will rewrite X to load Y:" and then… stops
- Requires a new prompt to continue
Environment: VS Code Copilot chat, MiniMax M3 selected as the model. Tasks are already broken into small, well-scoped units (I'm using a spec-driven workflow, not asking for 10 things at once).
What I expect: Given an in-scope plan, M3 should execute it end-to-end and only return when done — same behavior I get from other models, like V4 Flash, that iterates until the task is done.
What's attached: Screenshot showing the plan, the partial completion, and the cutoff mid-sentence at the next step's announcement.
Questions
- Is this a known regression in M3 vs M2.x for direct coding tasks?
- Is there a recommended prompt pattern (or system instruction) that prevents the model from checkpoint-narrating between steps?
- When is this expected to be addressed?
Happy to share more examples, my prompt history, or run a controlled test if it helps your team reproduce.
Thanks.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the described multi-step coding task in VS Code Copilot Chat with MiniMax M3, using the screenshots and prompt pattern as reference. Compare its behavior with M2.x and V4 Flash; done means determining whether the cutoff is reproducible and documenting a confirmed cause, workaround, or regression status.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- vscode
- Domain
- ai, developer-experience
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100