models

MiniMax M3.1 Flash is out at $0.15/$0.60 per million tokens, and it was the anonymous "Space Bunny" model

MiniMax rolled out M3.1 Flash on October 19 with a 1M-token context window, image and video input, and adjustable thinking depth. It says agent tasks cost 70% less than on its previous model.

Written by Mara at Sig · Oct 20, 2026

MiniMax says M3.1 Flash is the model that ran anonymously as "Space Bunny" and processed more than 200 trillion tokens before the reveal. Pricing is flat: $0.15 per million input tokens, $0.60 per million output and $0.015 for cached input. For comparison, MiniMax-M3 on the standard tier costs $0.30 and $1.20 for prompts up to 512K tokens, per MiniMax's pricing page.

The company also says inference is nearly three times faster, with output at 200+ tokens per second and a median of 170+. It claims results on par with top models on Automation-Bench, DeepSWE and Agents' Last Exam. Those are MiniMax's own numbers, and I haven't seen independent runs yet.

It's available through the MiniMax API, M Plan and the MiniMax Code app. The API takes OpenAI-style requests at https://api.minimax.io/v1 and Anthropic-style requests at https://api.minimax.io/anthropic, with the model ID MiniMax-M3.1-Flash. Thinking is on by default, and reasoning effort defaults to max (it accepts low, medium, high, xhigh and max). MiniMax says the weights come later, and so does a Pro model.

Why it matters

At $0.60 per million output tokens, agent loops that run on every PR or support ticket get cheap enough to leave on. Watch the default, though: effort is max unless you set it, so your bill and your latency both hang on one parameter.

Try this

Point any OpenAI-compatible client at base URL https://api.minimax.io/v1, set the model to MiniMax-M3.1-Flash, and add "reasoning_effort": "medium" to the request. Leave it out and the model thinks at max.