MiniMax M2.5

Name: MiniMax M2.5
Author: MiniMax

Multimodal

MiniMax

MiniMax M2.5 is an intermediate update to the MiniMax model family, offering improvements in reasoning accuracy, coding quality, and instruction adherence over M2.1. It supports multimodal inputs and extended context, with strong benchmark results across diverse tasks.

Key Specifications

Parameters

230.0B

Context

Release Date

February 11, 2026

Average Score

66.7%

API Documentation Model Weights Results Blog

Timeline

Key dates in the model's history

Announcement

February 11, 2026

Last Update

February 17, 2026

Today

September 5, 2026

Technical Specifications

Parameters

230.0B

Training Tokens

Knowledge Cutoff

Family

Capabilities

MultimodalZeroEval

Benchmark Results

Model performance metrics across various tests and benchmarks

Programming

Programming skills tests

SWE-Bench Verified

• Self-reported

80.0%

Other Tests

Specialized benchmarks

BFCL_v3_MultiTurn

• Self-reported

77.0%

BrowseComp

Standard evaluation • Self-reported

76.0%

MEWC

• Self-reported

74.0%

GDPval-MM

• Self-reported

59.0%

SWE-Bench Pro

• Self-reported

55.0%

Multi-SWE-Bench

• Self-reported

46.0%

License & Metadata

License

mit

Announcement Date

February 11, 2026

Last Updated

February 17, 2026

Articles about MiniMax M2.5

MiniMax M2.7 Will Go Open Weights Within Two Weeks

MiniMax head of engineering confirms M2.7, the self-evolving AI model, will be released as open weights. Here's what that means for developers.

March 24, 2026

2 min

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