# MiniMax-M3

[Canonical model page](https://headlessthrones.com/models/minimax-minimax-m3) · [Model library](https://headlessthrones.com/models)

Public catalog reference from Headless Thrones. Exact catalog ID: `minimax-minimax-m3`. Catalog source-check date: 2026-10-23.

This brief contains the public catalog answers and any catalog guide, not private drafts, historical editorial revisions or independently measured rankings. The canonical HTML page may also display separately published editorial.

Current catalog answers

## What to know about MiniMax-M3

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

[Dates &amp; knowledge](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-dates) · [Exact model](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-identity) · [Access](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-access) · [Pricing](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-pricing) · [Token limits](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-context) · [Inputs &amp; outputs](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-modalities) · [License](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-license) · [Weight details](https://headlessthrones.com/models/minimax-minimax-m3#model-answer-repository)

### What dates are documented for MiniMax-M3?

**Release date: June 1, 2026.** [Source](https://platform.minimax.io/docs/release-notes/models) This is a release milestone, not a knowledge or training cutoff. The source labels this “Explicit model release-notes date.”

Neither a knowledge cutoff nor a training-data cutoff is established here. A release date, repository upload or filename cannot supply those missing dates.

### Which MiniMax-M3 does this page describe?

MiniMax-M3 is a model record from **MiniMax** in the MiniMax family. [Source](https://huggingface.co/MiniMaxAI/MiniMax-M3)

The recorded model identifier or checkpoint is `MiniMax-M3`. Use that exact identifier when checking documentation or a provider listing. [Source](https://huggingface.co/MiniMaxAI/MiniMax-M3)

### How can you access MiniMax-M3?

The catalog documents **API and Open weights** access  for MiniMax-M3. [Source 1](https://huggingface.co/MiniMaxAI/MiniMax-M3) · [Source 2](https://platform.minimax.io/docs/faq/models) · [Source 3](https://platform.minimax.io/docs/pricing/overview)

As of the catalog check, this version was listed as available. [Source](https://platform.minimax.io/docs/pricing/overview)

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. This record documents API access separately.

### How much does MiniMax-M3 cost?

The recorded token rates for MiniMax-M3 are:

- **Input:** US$0.3 per 1 million input tokens. [Source](https://platform.minimax.io/docs/pricing/overview)

- **Output:** US$1.2 per 1 million output tokens. [Source](https://platform.minimax.io/docs/pricing/overview)

**Rate conditions:** Published standard USD per million tokens, uncached input; region, prompt length, caching and service-tier adjustments may apply. See official source. [Source 1](https://huggingface.co/MiniMaxAI/MiniMax-M3) · [Source 2](https://platform.minimax.io/docs/faq/models) · [Source 3](https://platform.minimax.io/docs/pricing/overview) · [Source 4](https://platform.minimax.io/docs/release-notes/models)

**Illustrative arithmetic:** 10,000 input tokens plus 2,000 output tokens would cost US$0.0054 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

### What are MiniMax-M3's context and output limits?

The documented **context window is 1,000,000 tokens**. [Source](https://platform.minimax.io/docs/faq/models)

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

### What can MiniMax-M3 receive and generate?

Documented inputs: **text, image, and video**. [Source](https://platform.minimax.io/docs/api-reference/text-anthropic-api)

Documented outputs: **text**. [Source](https://platform.minimax.io/docs/api-reference/text-anthropic-api)

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

### What license is recorded for MiniMax-M3?

The recorded license label is **minimax-community**. [Source](https://huggingface.co/MiniMaxAI/MiniMax-M3)

Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.

### What is documented about the MiniMax-M3 checkpoint?

This evidence refers to `MiniMaxAI/MiniMax-M3` at recorded revision `f0e1c1e04d40177e4673a22097036854f536e9c0`, checked October 23, 2026. [Repository metadata](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3)

Safetensors metadata records **427,040,140,160 stored parameters**. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. [Repository metadata](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3)

Recorded architecture class: `MiniMaxM3SparseForConditionalGeneration`. [Repository metadata](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3)

Repository task tag: `image-text-to-text`. A task tag identifies a distribution category; it does not measure performance on that task. [Repository metadata](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3)

Listed library: `transformers`. Check that library's version and model support before loading the weights. [Repository metadata](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3)

Repository access gate: `false`. This records the repository's gate setting when checked; licensing and use terms still apply. [Repository metadata](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3)

#### What the configuration file says

The pinned `config.json` section `text_config` contains these values. [Pinned configuration](https://huggingface.co/MiniMaxAI/MiniMax-M3/resolve/f0e1c1e04d40177e4673a22097036854f536e9c0/config.json)

`max_position_embeddings`: 1,048,576

`torch_dtype`: bfloat16

`num_attention_heads`: 64

`num_key_value_heads`: 4

`num_hidden_layers`: 60

`hidden_size`: 6,144

Configuration values describe the checkpoint and its implementation. In particular, max\_position\_embeddings, sliding\_window and rope\_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior.

Read the retrieved model card for setup and qualifications. [Model card](https://huggingface.co/MiniMaxAI/MiniMax-M3/resolve/f0e1c1e04d40177e4673a22097036854f536e9c0/README.md)

**Catalog qualifications:** Official publisher weight listing; availability refers to this distribution, not a guaranteed hosted API. Base, SFT and research variants are identified by their exact published names. Official quantization/runtime variants are retained as aliases. Model-card body could not be retrieved; fields beyond the official inventory metadata remain unverified.  M3 rates shown are standard prompts up to 512K; longer prompts and priority tier cost more. Text, image and video input are explicitly documented for both models on the Anthropic-compatible API; the separate AI SDK wrapper does not support video. [Source 1](https://huggingface.co/MiniMaxAI/MiniMax-M3) · [Source 2](https://platform.minimax.io/docs/api-reference/text-anthropic-api) · [Source 3](https://platform.minimax.io/docs/faq/models) · [Source 4](https://platform.minimax.io/docs/pricing/overview) · [Source 5](https://platform.minimax.io/docs/release-notes/models) · [Source 6](https://huggingface.co/api/models/MiniMaxAI/MiniMax-M3) · [Source 7](https://huggingface.co/MiniMaxAI/MiniMax-M3/resolve/f0e1c1e04d40177e4673a22097036854f536e9c0/README.md) · [Source 8](https://huggingface.co/MiniMaxAI/MiniMax-M3/resolve/f0e1c1e04d40177e4673a22097036854f536e9c0/config.json)

**Evidence still missing here:** knowledge and training-data cutoffs and tested hardware requirements. Missing documentation is not evidence that a feature is unavailable.

Headless Thrones has not independently benchmarked this model for this reference. Evaluate it on representative work before choosing it; these facts do not rank its accuracy, reliability, speed or suitability against another model.

Keep the exact version in view

## Other MiniMax models from MiniMax.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

### [MiniMax-M3.1-Flash](https://headlessthrones.com/models/minimax-minimax-m3-1-flash)

API · Open weights · 1,000,000 context tokens

### [MiniMax-M1-40k](https://headlessthrones.com/models/minimax-minimax-m1-40k)

Open weights

### [MiniMax-M1-80k](https://headlessthrones.com/models/minimax-minimax-m1-80k)

Open weights

### [MiniMax-M2](https://headlessthrones.com/models/minimax-minimax-m2)

Open weights

### [MiniMax-M2.1](https://headlessthrones.com/models/minimax-minimax-m2-1)

Open weights

### [MiniMax-M2.5](https://headlessthrones.com/models/minimax-minimax-m2-5)

API · Open weights
