Verified AI Launch Profile

MiniMax M3

MiniMax released M3 for coding, agent workflows, long-context reasoning, and native image and video understanding through MiniMax Code, Token Plans, and API access.

MiniMax M3 official launch artwork from MiniMax

At a glance

Launch Snapshot

Company
MiniMax
Launch date
June 1, 2026
Launch type
Model Release
Category
AI Models, AI Open-Weight Models
Audience
AI Agent Developers, AI Engineers, Developers
Pricing
MiniMax offers M3 through paid Token Plans and usage-based API pricing. API cost varies by input length and service tier; verify current rates on official MiniMax pages.
Free plan
Unknown
API
Yes
Open weights/source
Yes

Verification & Sources

Status
Verified
Source links
4
Freshness
Verified July 9, 2026
Last verified
July 9, 2026
Last updated
July 9, 2026
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Kingy Launch Score

7.7 / 10 · Solid

One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works

Why this score

  • Source & verification 8.0/10 — The official announcement, the model page, and the API overview — dated first-party sources. minimax.io
  • Product evidence 8.5/10 — An open-weight release with an available API, a model page, and access through MiniMax Code and Token Plans. minimax.io
  • Significance & novelty 7.5/10 — An open-weight model spanning coding, agent workflows, long-context reasoning, and native image and video understanding — a notable release. minimax.io
  • Traction signals not scored — insufficient sourced evidence
  • Offer clarity 6.0/10 — Paid Token Plans and usage-based API pricing are documented; rates vary by input length and tier. platform.minimax.io

Evidence checked 2026-07-10

Kingy AI Take

MiniMax released M3, an open-weight model for coding, agent workflows, long-context reasoning, and native image and video understanding, available through MiniMax Code, Token Plans, and API access (minimax.io). AI Engineers, Agent Developers, and Research Teams can weigh an open alternative with documented usage-based pricing. Performance claims are vendor-reported, so test reliability, latency, and total API cost on your own workloads before production use.

Who it is for

Developers, AI engineers, agent builders, and research teams evaluating coding, multimodal, or long-context model workflows.