Text Generation
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Gemini Diffusion

Provider: Google Updated: 2026-07-23

Gemini Diffusion is an text generation model from Google, designed for general AI application workflows.

Text Generation Multilingual

Pricing

Input -
Output -
Text to Image -
Image to Image -
Text to Video -
Image to Video -

Capabilities

Input Types Text / Image / Video / Audio
Output Types Text
Function Calling Supported
Session Cache Supported
Fine-Tuning -
Prefix Cache Supported
Structured Output Supported
Image Understanding Supported
Text Generation Supported
Text to Image -
Image to Image -
Text to Video -
Image to Video -
Open Source Status Closed source

Parameters

Last Updated 2026-07-23
Context Length -
Max Input Tokens -
Max Output Tokens 65K
Max Thought Tokens -
TPM -
RPM -
Parameter Count -
Modalities Text
Language Support Multilingual
Best For General AI application workflows
Resolution -
Video Duration -
Frame Rate -

Benchmarks

These benchmark scores summarize how the model performs across different tasks and evaluation sets.

AIME

Measures performance on difficult competition-level mathematics problems.

23.3
GPQA

Evaluates graduate-level science knowledge and reasoning ability.

40.4
LiveCodeBench

Benchmarks code understanding and real-world coding task performance.

30.9
HumanEval

Evaluates code generation correctness on programming tasks.

89.6