@MiniMax_AI: Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier…

X AI KOLs Timeline Models

Summary

MiniMax unveils MiniMax M3, the first open-weights AI model combining frontier capabilities in coding and agentic tasks, achieving strong benchmark scores with sparse attention scaling to 1M context.

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - https://t.co/TF891iJukF
Original Article
View Cached Full Text

Cached at: 06/01/26, 05:30 AM

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities

  • Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas
  • MiniMax Sparse Attention scales context to 1M
  • https://t.co/TF891iJukF

Similar Articles

How close is Opus 5.5/ Astra to AGI?

Reddit r/singularity

The article discusses the capabilities of Opus 5.5 and Astra AI models in coding and long agentic tasks, speculating on their proximity to achieving AGI and potential applications in robotics.

LuffyTheFox/Swift-Qwen3.8-27B-Genesis-GGUF

Reddit r/LocalLLaMA

The user explores a quantized variant of the Swift-Qwen3.8-27B model with GGUF format, noting its compact size allows full 262k context in 32GB VRAM and reports benchmark performance.