What’s NewPost

GPT-5.6 Luna Is Now Default; Mage Flow Turbo Added; LTX-2.3 Expanded

GizAI Update: New Models and Expanded Creative Tools

Since our July 22 update, we’ve upgraded several models, significantly expanded GPT-5.6 Luna availability, and introduced broader image, video, and voice capabilities.

Model Updates

GPT-5.6 Luna is now the default general-purpose model, offering stronger instruction following and more reliable tool use. For Plus members, its hourly usage allowance has increased from 8 to 50 uses—a 6.25× increase.

  • DeepSeek V4 Flash has been updated to the 0731 release, with improved coding and agent capabilities.
  • Gemini 3.6 Flash and Gemini 3.5 Flash-Lite replace their previous Flash versions.
  • Mage Flow Turbo is now available for fast image generation and editing with up to three reference images.

The older GPT-4.1 family, GPT-5.4 Nano, and GPT-OSS 120B entries have been retired as the catalog moves to GPT-5.6 Luna and newer models.

Existing conversations and generated files remain available.

GPT Image 2 Usage

GPT Image 2 usage is now measured by the number of images generated rather than the number of requests. For example, a request producing five images consumes five uses, aligning usage with the actual generation work.

Video and Voice Improvements

LTX-2.3 Distilled 1.1 now supports:

  • Text, image, video, and audio-guided generation
  • Multiple subject and scene references
  • Keyframes and video continuation
  • Video inpainting and reference-based editing
  • HDR conversion
  • Resolutions up to 1080p and durations up to 20 seconds

Wan 2.2 I2V 14B Fast clips are now limited to 6 seconds, the model’s reliable supported range.

Video Upscale & Enhance now provides clearer modes for AI upscaling, clean resizing, denoising, and deblurring, with output options up to 4K.

OmniVoice voice cloning now uses a clean 3–10 second reference recording together with its transcript. Voice Design also provides clearer controls for gender, age, pitch, and accent.

Thank you for helping us make GizAI more capable and predictable.

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