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MiniMax

MiniMax-M3.1-Flash

Released Oct 19, 2026 · knowledge cutoff unpublished

Status
Unknown
Location
China
Type
LLM
Modality
Multimodal
Context window
1M
Max output
—
Speed
—
Price ($/MTok in / out)
$0.15 / $0.60
Cost per task
$0.22
Open weights
No
News1 story
Strengths & weaknesses

Strengths

  • Already battle-tested at scale before its name was public — as the anonymous 'Space Bunny' it was OpenRouter's most-used model for ten straight days, so the launch build is not a cold start
  • Built around agent work rather than chat: MiniMax pitches computer-use and cross-application tasks first, and its Code Arena WebDev debut jumped well clear of MiniMax-M3
  • Reasoning model priced like a Flash — cheap enough to leave running inside long agent loops, with MiniMax claiming roughly three times faster online inference than M3

Weaknesses

  • Very verbose: Artificial Analysis' index run drew nearly twice the median output tokens, so the low per-token rate buys less than it looks
  • Almost never declines to answer — on Artificial Analysis' knowledge test it attempted nearly every question it did not know, so unfamiliar facts come back as confident guesses
  • Weights are promised but not yet out, and MiniMax published no parameter count or tracked-benchmark scores at launch — only its own agentic suites

Announced 2026-10-19 on MiniMax's blog and X account as the public launch of M3.1 Flash, after a MiniMax Code / Token Plan-only preview (M3.1-Flash-Preview, 2026-09-27) and the 'Space Bunny' OpenRouter stealth run, which MiniMax says was an earlier version of this model; available the same day through the MiniMax API (pay-as-you-go), M Plan, MiniMax Code and OpenRouter. MiniMax reports only its own agentic suites — OSWorld V2 61.7, Agents' Last Exam 29.6, DeepSWE v1.1 73.7%, BankerToolBench 76.2 and CyberGym ~82% — none of the site's tracked benchmarks, and says HLE edges DeepSeek V4.1 Flash without giving a figure, so every benchmark cell is null; Arena's Code Arena WebDev listing (1588) is not the text-arena Elo this site records. Artificial Analysis rates it 42 on its Intelligence Index (MiniMax-M3: 29) at $0.22 per index task, measured on the single unlabelled variant it lists, hence effort null; speed stays null because AA's output-speed figure could not be confirmed. Pricing is $0.15 input / $0.015 cache read / $0.60 output per million tokens, with a priority tier at 1.5x. Context is 1M tokens shared by input and output; MiniMax's Messages API reference gives a 524,288-token output maximum but names the Preview model id, so maxOutput stays null. Parameter count is unpublished. Weights are promised for 2026-10-23 per MiniMax's X post (the blog says only 'later'), so openWeights stays false and license null until they ship. predecessorId is null: MiniMax names no model it replaces.

Benchmarks0 of 10 reported

MMLU-Proretired

—

GPQA Diamond

—

SWE-bench Verified

—

SWE-bench Pro

—

Terminal-Bench 2.1

—

AIME (latest)retired

—

Humanity's Last Exam

—

LMArena Elo

—

GDPval-AA v2

—

ARC-AGI-2

—
For developers

API model strings

  • minimaxMiniMax-M3.1-Flash

Licence

Proprietary — weights not released

Retirement

No retirement announced

Lineage

No recorded predecessor