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Gemini Diffusion

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gemini-diffusionVariant

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

Release DateUnknown
Knowledge CutoffUnknown

Other Details

Parameters
Unknown
License
Proprietary
Training Data
Unknown

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Benchmarks

Gemini Diffusion Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Sat Dec 06 2025
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Pricing

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No pricing information available for this model.

Example Outputs

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API Access

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FAQ

Common questions about Gemini Diffusion

Gemini Diffusion was released on May 20, 2025.