# MiniMax — MiniMax M3

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about it, MiniMax's launch post, the first-party posts this record
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- This model's page: https://forck.live/models/minimax-m3
- MiniMax's page: https://forck.live/company/minimax
- Every model: https://forck.live/models
- Catalogue: https://forck.live/llms.txt

## Model

- Name: MiniMax M3
- Company: MiniMax (minimax.io)
- Launch post: MiniMax M3: Frontier Coding, 1M Context, Native Multimodality — All in One Model — https://forck.live/items/3396-minimax-m3-frontier-coding-1m-context-native-multimodality-all-in-one-model
- Announced: 2026-06-01
- Launch source: https://www.minimax.io/blog/minimax-m3
- Launch chosen by: a person, pinned in the model registry
- Released (per models.dev): 2026-06-01
- Listed (per OpenRouter): 2026-05-31
- Open weights: yes
- Posts about it: 1
- Outlets named under its posts: 0
- OpenRouter id: minimax/minimax-m3 — https://openrouter.ai/minimax/minimax-m3
- Licence: open-source — from https://forck.live/items/3396-minimax-m3-frontier-coding-1m-context-native-multimodality-all-in-one-model
- Context window: 1M context — from https://forck.live/items/3396-minimax-m3-frontier-coding-1m-context-native-multimodality-all-in-one-model

## Posts about it

_MiniMax's own posts whose title names MiniMax M3, and its launch post, in the record's order: dated newest first, undated last. The record reads the newest 50 first-party posts mentioning the model, every company's together, so a model mentioned more often than that lists the newest of them._

Every entry is one first-party announcement, and carries the same eight fields
in this order before any others:

    Company · Announced · Category · Coverage · Announcement · Group · Source · Record

`Source` is the company's own page the announcement was traced to and `Record`
is this site's page for it. Both are safe to cite.

`Coverage` is a number of outlets, or `not counted` — which means this record
reached no count of its own, never that nobody wrote about it.

`Category` is this tracker's own analysis, and is authoritative wherever it is
stated. `not stated` means either that nothing has analysed the post yet or
that the analysis placed it outside this taxonomy; neither is a verdict about
the announcement.

`Announcement` is whether the post is news of something the company did, rather
than a how-to, a customer story, a changelog listing or a staffing note.

`Group` is which of this record's groups the entry falls in, carried on the
entry itself so it holds where the groups are headings and where they are not.
One of: `models`, `covered`, `announcements`, `routine`.

Anything after `Record` is held detail that only some announcements carry.

### MiniMax — MiniMax M3: Frontier Coding, 1M Context, Native Multimodality — All in One Model

- Company: MiniMax (minimax.io)
- Announced: 2026-06-01
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://www.minimax.io/blog/minimax-m3
- Record: https://forck.live/items/3396-minimax-m3-frontier-coding-1m-context-native-multimodality-all-in-one-model
- Subject: MiniMax models

MiniMax announces M3, a new model that reaches frontier capability on coding and agentic tasks, introduces MiniMax Sparse Attention (MSA) supporting up to 1M context, and is natively multimodal. It is described as the only domestic model combining all three frontier essentials and will be the only open-source one in this class.

## Who reported on it

_This record names no outlet that reported on these posts._

## Where it runs

_Other companies' own announcements naming MiniMax M3 and MiniMax — each is that company's post, not MiniMax's._

### Together AI — Serving MiniMax-M3 for efficient inference: Unlocking 1M-Token Context and Multimodality Without Regrets

- Company: Together AI (together.ai)
- Announced: 2026-06-02
- Category: api-release
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.together.ai/blog/serving-minimax-m3-for-efficient-inference-unlocking-1m-token-context-and-multimodality-without-regrets
- Record: https://forck.live/items/2343-serving-minimax-m3-for-efficient-inference-unlocking-1m-token-context-and
- Subject: Inference platform

Together AI announces it is the preferred cloud partner for MiniMax M3 and will host the open-weights model as a developer endpoint upon its public release. The company's Inference and Kernel teams delivered optimizations including a KV-Block-Major sparse attention kernel, paged attention integration for MSA, an index scoring kernel, and a Rust-based multimodal preprocessing gateway, achieving 81–125% throughput improvements across concurrency levels. The model supports a 1M-token context window and native multimodality.

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Record: https://forck.live/models/minimax-m3
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md