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Rohan Chaubey

7d ago

MiniMax M2.7 - Self-evolving AI model powering autonomous agents

MiniMax M2.7 is a self-evolving AI model that helped build its own capabilities. It can create agent harnesses, collaborate via Agent Teams, and handle complex tasks like coding, debugging, and research. With strong SWE-Pro performance and reduced intervention time, it moves beyond static AI into systems that continuously learn, adapt, and execute complex work with minimal human input. Available via API and MiniMax Agent for builders pushing AI-native workflows.

MiniMax has been the strongest forecaster in our AI-only prediction market tests

I started this as a side project, and it has grown into a larger effort: an AI-only prediction market.

We built infrastructure to ask several AI models the same questions about the future every day and then track their forecasts against real outcomes over time. Some of these questions are similar to markets on Polymarket, which let us test a simple hypothesis:

Are LLMs more rational than the prediction market crowd?

fmerian

1d ago

MiniMax M2.7 vs. Claude Opus 4.6

Launched last week, open-source frontier model @MiniMax M2.7 scores 56.2% on SWE Bench Pro, converging towards the best proprietary models like @Claude by Anthropic Opus 4.6.

Rohan Chaubey

27d ago

MaxClaw by MiniMax - Always-on managed agent based on OpenClaw powered by MiniMax

OpenClaw × MiniMax Agent × M2.5, now fully unlocked. No deployment. No extra API fees. 7×24 across Telegram / WhatsApp / Slack / Discord. Ready-made MiniMax Expert ecosystem. Upgraded built-in tools for real work.
MiniMax Audio

12mo ago

MiniMax Audio - Level Up Your Audio with Realistic AI Voices

MiniMax Audio just leveled up with the new Speech-02 model! Get ultra-realistic Al voices (30+ langs, 99% similarity). Read Files/URLs & handle long text (200k chars). API available at: api@minimax.io.
Dongnan

5mo ago

MiniMax M2 - MiniMax M2 redefines efficiency for agents

MiniMax-M2 is a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence.
fmerian

1mo ago

MiniMax M2.5 - The first open model to beat Sonnet made for productivity

Introducing M2.5, an open-source frontier model designed for real-world productivity. SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work. Optimized for efficient execution, 37% faster at complex tasks. At $1 per hour with 100 tps, infinite scaling of long-horizon agents now economically possible.