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MiniMax M3

Multimodal modelCoding modelMiniMax M3

MiniMax M3

Release date: 2026-06-01Updated: 2026-07-17 21:57:25.3906,000
Live demoGitHubHugging FaceCompare
Parameters
428B
Context length
1M
Chinese support
Supported
Reasoning ability

MiniMax M3 is a multimodal model from MiniMaxAI, released on 2026-06-01. It accepts text, image, and video input and returns text output. The cataloged parameter count is 428B, with 23B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 512K. Cataloged capabilities include Reasoning model, Multilingual, and Coding model. The checkpoint is listed under the Minimax Modified Mit license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

MiniMax M3

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Mode (Default)Standard Mode
Context length
1M tokens
Max output length
512K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image, Video → Text
Release date
2026-06-01
Model file size
No data
MoE architecture
Yes
Total params / Active params
428B / 23B
Knowledge cutoff
No data
MiniMax M3

Open source & experience

MiniMax M3

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
MiniMax M3

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Learn about pricing modes
Standard
TypeConditionInputOutput
Text-¥2.10/ 1M¥8.40/ 1M
TextContext <= 524288¥4.20/ 1M¥16.80/ 1M
Turbo
TypeConditionInputOutput
Text-¥3.15/ 1M¥12.60/ 1M
TextContext <= 524288¥6.30/ 1M¥25.20/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text--¥0.420/ 1M
MiniMax M3

Benchmark Results

MiniMax M3 currently shows benchmark results led by SWE-Bench Pro - Public (11 / 54, score 59), BrowseComp (12 / 53, score 83.50), LiveBench (40 / 115, score 70.02). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
Tool usage
Internet

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
SWE-Bench Pro - Public
Thinking ModeTools
59
11 / 54

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
Thinking ModeToolsInternet
83.50
12 / 53

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
LiveBench
Deep
70.02
40 / 115

AI Agent - Tool Usage

2 evaluations
Benchmark / mode
Score
Rank/total
OSWorld-Verified
Thinking ModeTools
70
18 / 24
TerminalBench 2.1
Thinking ModeTools
66
22 / 28
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MiniMax M3

Publisher

MiniMax M3

Model Overview

MiniMax M3 is a multimodal model from MiniMaxAI, released on 2026-06-01.

It accepts text, image, and video input and produces text output. Its cataloged capabilities include Reasoning model, Multilingual, and Coding model. The cataloged parameter count is 428B, with 23B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 512K.

The checkpoint is listed under the Minimax Modified Mit license, with the license link included in the model references. The page records 12 API pricing rules from MiniMaxAI; current provider pricing and conditions should be checked before deployment. The evaluation section contains 5 cataloged benchmark results with their recorded modes and scores. The page links 4 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

MiniMax M3

FAQ

What is MiniMax M3?

MiniMax M3 is a multimodal model from MiniMaxAI, released on 2026-06-01. It accepts text, image, and video input and returns text output. The cataloged parameter count is 428B, with 23B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 512K. Cataloged capabilities include Reasoning model, Multilingual, and Coding model. The checkpoint is listed under the Minimax Modified Mit license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

What input and output modalities does MiniMax M3 support?

The current model record lists text, image, and video as input and text as output.

What are the main recorded specifications for MiniMax M3?

The cataloged parameter count is 428B, with 23B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 512K. Fields without a source-backed value remain undisclosed.

Does MiniMax M3 have API pricing?

The page records 12 API pricing rules from MiniMaxAI; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for MiniMax M3?

The evaluation section contains 5 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is MiniMax M3 open source?

The checkpoint is listed under the Minimax Modified Mit license, with the license link included in the model references. Review the linked license text before commercial or derivative use.

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