Gemini Diffusion
Overview
Overview
Gemini Diffusion is a state-of-the-art, experimental text diffusion model from Google DeepMind. It explores a new kind of language model designed to provide users with greater control, creativity, and speed in text generation. Instead of predicting text token-by-token, it learns to generate outputs by refining noise step-by-step, allowing for rapid iteration and error correction during generation. Key capabilities include rapid response times (reportedly 1479 tokens/sec excluding overhead), generation of more coherent text by outputting entire blocks of tokens at once, and iterative refinement for consistent outputs. It excels at tasks like editing, including in math and code contexts.
Gemini Diffusion was released on May 20, 2025.
Performance
Timeline
Specifications
Benchmarks
Benchmarks
Gemini Diffusion Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
Pricing
Pricing
Pricing, performance, and capabilities for Gemini Diffusion across different providers:
API Access
API Access Coming Soon
API access for Gemini Diffusion will be available soon through our gateway.
Recent Posts
Recent Reviews
FAQ
Common questions about Gemini Diffusion