openvinotoolkit/openvino 2026.3.1

on GitHub

Summary of major features and improvements  

• Functionally enabled Muse-Glimmer-30B model:
  • Model card and IR available: OpenVINO/Muse-Glimmer-30B-int4-ov · Hugging Face
    Notebook to try
  • Blog links:
    Running Meta’s Muse Glimmer 30B Locally with OpenVINO™ GenAI;
    Day 0 Support for Muse Glimmer from Meta on Intel Platforms
• Functionally enabled Qwen3.8-27B model:
  • Model card and IR available: OpenVINO/Qwen3.8-27B-int4-ov · Hugging Face
    Notebook to try
  • Blog link
• Fixed issues:
  • Property ENABLE_CPU_PINNING supported now on dual-socket Intel® Xeon® 6+ processors (formerly codenamed Clearwater Forest) Windows Servers.
  • Chat template was updated for Gemma 4 models. Now it can be parced by the Minja templating engine.
  • Fixed accuracy issue for the Gemma 4 26B A4B model when the input prompt is long.
  • Fixed accuracy issue for the Gemma 4 31B model when an image is included in the input.
  • Fixed accuracy issue for lfm2-1.2b, lfm2.5-1.2b-instruct models for NPU device target.

You can find OpenVINO™ toolkit 2026.3.1 release here:

• Download archives* with OpenVINO™
• OpenVINO™ for Python: pip install openvino==2026.3.1

Release documentation is available here: https://docs.openvino.ai/2026
Release Notes are available here: https://docs.openvino.ai/2026/about-openvino/release-notes-openvino.html