minimax
30 articles about minimax in AI news
MiniMax Added as Official Provider for OpenClaude AI Framework
MiniMax has been integrated as an officially supported provider for the OpenClaude framework, giving developers a new, enterprise-backed model option for running the open-source Claude alternative.
MiniMax Launches MaxHermes, Cloud-Hosted Agent with NousResearch
MiniMax has launched MaxHermes, a cloud-hosted version of the Hermes agent framework, in partnership with NousResearch. This provides a managed service for users of MiniMax's M2.7 model, aiming to simplify agent deployment.
MiniMax AI Powers Wati's Astra Voice 2.0 for WhatsApp Business
MiniMax AI is providing its voice technology to power Wati's Astra Voice 2.0 platform, enabling businesses to deploy conversational voice AI on WhatsApp in multiple languages.
MiniMax M2.7 Used by AtomicBot to Generate Flappy Bird Clone
A developer used the open-source MiniMax M2.7 frontier model to generate a complete, playable desktop game from a text prompt. This demonstrates practical code generation for creative applications.
MiniMax M2.7 Tops Open LLM Leaderboard with 230B Parameter Sparse Model
MiniMax announced its M2.7 model has taken the top spot on the Hugging Face Open LLM Leaderboard. The model uses a sparse mixture-of-experts architecture with 230B total parameters but only activates 10B per token.
MiniMax Open-Sources Three Agent Music Skills for MMX-CLI
MiniMax has open-sourced three 'Music Skills' for its MMX-CLI agent platform. The skills allow AI agents to generate music, sing in a persona, and curate playlists from a user's local library.
MiniMax Open-Sources M2.7 Model, Details 'Self-Evolution' Training
Chinese AI firm MiniMax has open-sourced its M2.7 model. The key detail from its blog is a 'self-evolution' training process, likened to AlphaGo's self-play, for iterative improvement.
MiniMax M2.7 Model Deploys on NVIDIA NIM Endpoints with OpenClaw Support
Chinese AI firm MiniMax has made its M2.7 model available through NVIDIA's GPU-accelerated NIM endpoints. This deployment includes support for the OpenClaw and NemoClaw frameworks, integrating it into a major AI development ecosystem.
MiniMax M2.7 Open-Sourced, Hits 56.22% on SWE-Pro
MiniMax has open-sourced its M2.7 model, which it claims achieves state-of-the-art scores of 56.22% on SWE-Pro and 57.0% on Terminal Bench 2 for coding tasks.
MiniMax Launches MMX-CLI, First Infrastructure Built for AI Agents
MiniMax released MMX-CLI, a CLI built for AI agents, not humans. It provides agents with seven multimodal 'senses' and native integration with popular AI coding environments.
Zhipu AI and MiniMax Post 131.9% and 159% Revenue Growth in First Post-IPO Earnings
Zhipu AI and MiniMax, two leading Chinese AI startups, reported their first post-IPO financials, showing 131.9% and 159% year-on-year revenue growth respectively in 2025. This demonstrates initial commercial viability for their model-as-a-service and consumer app strategies, even as net losses continue to expand.
MiniMax M2.7 AI Agent Rewrites Its Own Harness, Achieving 9 Gold Medals on MLE Bench Lite Without Retraining
MiniMax's M2.7 agent autonomously rewrites its own operational harness—skills, memory, and workflow rules—through a self-optimization loop. After 100+ internal rounds, it earned 9 gold medals on OpenAI's MLE Bench Lite without weight updates.
Minimax to Release Open Weights in Two Weeks, Highlighting Chinese Startup Momentum
Chinese AI startup Minimax announced it will release open weights within two weeks. This follows a pattern of rapid open-source releases from Chinese firms, contrasting with Meta's more controlled approach.
Minimax Confirms Development of Multimodal Model 'm3' via Social Media Tease
AI company Minimax has confirmed it is developing a multimodal model, internally codenamed 'm3', through a social media post. No technical specifications, release date, or benchmarks were provided.
MiniMax M2.7 Achieves 30% Internal Benchmark Gain via Self-Improvement Loops, Ties Gemini 3.1 on MLE Bench Lite
MiniMax had its M2.7 model run 100+ autonomous development cycles—analyzing failures, modifying code, and evaluating changes—resulting in a 30% performance improvement. The model now handles 30-50% of the research workflow and tied Gemini 3.1 in ML competition trials.
Minimax M2.7 Achieves 56.2% on SWE-Pro, Features Self-Evolving Training with 100+ Autonomous Optimization Loops
Minimax has released M2.7, a model that reportedly used autonomous optimization loops during RL training to achieve a 30% internal improvement. It scores 56.2% on SWE-Pro, near Claude 3.5 Opus, and ties Gemini 3.1 on MLE Bench Lite.
Minimax Confirms Abab 6.5 Pro Model as 'Minimax 2.7' in Teaser Announcement
Minimax has officially branded its upcoming Abab 6.5 Pro model as 'Minimax 2.7' in a teaser announcement. This confirms the company's next major model release is imminent.
MiniMax's Platform Pivot Pays Off: Chinese AI Unicorn Surpasses $150M ARR Milestone
Chinese AI company MiniMax reported 2025 revenue of $79 million, up 159% year-over-year, with annual recurring revenue exceeding $150 million. The company is successfully transitioning from a large model developer to an AI platform company following its Hong Kong IPO.
MiniMax M2.5 Debuts as First Open-Weight AI Model in Notion's Custom Agents
MiniMax AI has launched its M2.5 model as the first open-weight AI integrated into Notion's Custom Agents platform. The model is optimized for lightweight, high-frequency tasks, potentially democratizing AI customization within productivity workflows.
MiniMax's Explosive Growth Signals China's AI Ambitions Are Paying Off
Chinese AI firm MiniMax reported a 159% revenue surge to $79 million, beating analyst expectations. The Shanghai-based company projects revenue will double this year, driven by strong adoption of its M2.5 model and growing enterprise demand for AI solutions.
VoxCPM2 Open-Source Voice AI Outperforms ElevenLabs on Key Benchmarks
Researchers from OpenBMB and Tsinghua University released VoxCPM2, a 2B-parameter open-source voice AI that clones voices from short clips and creates voices from text descriptions. It outperforms ElevenLabs on the Minimax-MLS benchmark and runs locally with no API costs.
AI Researchers Crack the Delay Problem: New Algorithm Achieves Optimal Performance in Real-World Reinforcement Learning
Researchers have developed a minimax optimal algorithm for reinforcement learning with delayed state observations, achieving provably optimal regret bounds. This breakthrough addresses a fundamental challenge in real-world AI systems where sensors and processing create unavoidable latency.
Alibaba Cloud's $3 Coding Plan Disrupts AI Development Market
Alibaba Cloud has launched a unified coding subscription offering four frontier AI models for just $3, potentially reshaping how developers access and use coding assistants. The plan includes Qwen 3.5-Plus, Kimi K2.5, MiniMax M2.5, and GLM-5 in a single package.
The AI Espionage Frontier: Anthropic Exposes Systematic Claude Data Extraction by Chinese AI Labs
Anthropic has revealed that Chinese AI companies DeepSeek, Moonshot, and MiniMax allegedly used 24,000 fake accounts to execute 16 million queries against Claude's API, systematically extracting its capabilities through model distillation techniques. This sophisticated operation bypassed access restrictions and targeted Claude's reasoning, programming, and tool usage functions.
Anthropic Exposes Massive AI Model Theft Operation Targeting Claude
Anthropic has uncovered sophisticated 'distillation' campaigns by Chinese AI firms DeepSeek, Moonshot, and MiniMax, who allegedly used thousands of fraudulent accounts to copy Claude's capabilities. The operation generated over 16 million exchanges to replicate Claude's reasoning and coding strengths.
ThermoQA Benchmark Reveals LLM Reasoning Gaps: Claude Opus Leads at 94.1%
Researchers released ThermoQA, a 293-question benchmark testing thermodynamic reasoning. Claude Opus 4.6 scored 94.1% overall, but models showed significant degradation on complex cycle analysis versus simple property lookups.
TACO Framework Cuts Agent Token Overhead 10% via Self-Evolving Compression
Researchers introduced TACO, a framework that enables terminal agents to automatically discover and refine context compression rules from their own interaction trajectories. This approach cuts token overhead by approximately 10% on benchmarks like TerminalBench and SWE-Bench Lite while preserving task accuracy.
Qwen3.6-27B: How to Run a 17GB Local Model That Beats 397B MoE on Coding Tasks
Qwen3.6-27B delivers flagship-level coding performance in a 55.6GB model that can be quantized to 16.8GB, making high-quality local coding assistance accessible.
Free-Claude-Code Proxy Routes Anthropic API to Free NVIDIA NIM Models
A developer released free-claude-code, a proxy that intercepts Claude Code's API calls and routes them to free NVIDIA NIM endpoints, unlocking free access to models like Kimi K2 and GLM 4.7. This bypasses Anthropic's subscription fees and adds remote execution via a Telegram bot.
OpenMontage: Open-Source Agentic Video Production System Costs $0.69 Per Ad
OpenMontage, an open-source agentic video production system, has been released. It orchestrates 11 pipelines and 49 tools across multiple AI providers to autonomously script, generate assets, edit, and render videos from a plain language prompt.