FrontierThe story, in brief

Chinese AI startup MiniMax plans to open-source a 2.7 trillion parameter model later this year

2.7 trillion parameters. A Chinese startup just announced it's going open-source—and the West should be paying attention.

Illustration of a transparent lens revealing connected networks across layers of paper.
Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

MiniMax's trillion-parameter open-source release signals an acceleration in China's AI capability race and could democratize access to frontier-scale models globally, challenging closed-model incumbents.

The key facts

5 to know
  1. MiniMax developing 2.7 trillion parameter LLM

  2. Model planned for open-source release

  3. Expected release timeline: later in 2026

  4. Chinese AI developer entering frontier-scale model competition

  5. Potential competitive pressure on closed US/EU model providers

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: Chinese AI developer MiniMax is working on a new large language model with 2.7 trillion parameters. MiniMax plans to release the model as open source.
Read original report
Back to today's editionMore frontier news

The wider picture

View all
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Frontier01

Alibaba Unveils Zhenwu V900 — and Plans Qwen Models With Up to 10 Trillion Parameters

Alibaba is advancing on two fronts simultaneously: announcing a custom AI accelerator (Zhenwu V900) and committing to massive model scale (10T parameters for future Qwen releases). For practitioners, this matters as a credible third-party capability play outside the US-China licensing squeeze; for enthusiasts, it's a significant lab-race signal about training compute and parameter scaling as competitive levers.

TechRepublic
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Frontier02

Kyutai Releases Voice of Reason: A Speech-Native Model that Solves Spoken Math with Reinforcement Learning

A new capability frontier: models that reason directly in speech without transcription bottlenecks. This changes how we think about multimodal reasoning and what's possible with open-weight releases at scale.

MarkTechPost
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Frontier03

Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war

Frontier labs are shipping upgraded reasoning and multimodal models in rapid succession, signaling acceleration in the capability race. Simultaneous price cuts reshape AI economics for practitioners.

Simon Willison