Google model product
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.
Updated Aug 10, 2026. Default version: Gemini Diffusion
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Gemini Diffusion.
| BigCodeBench | 0.5 | 1 | 2 | 100.0% | C | |
| LBPP (v2) | 0.6 | 1 | 1 | 100.0% | C | |
| Global-MMLU-Lite | 0.7 | 8 | 14 | 46.1% | C | |
| BIG-Bench Extra Hard | 0.1 | 9 | 11 | 20.0% | C | |
| HumanEval | 0.9 | 17 | 76 | 78.7% | C | |
| MBPP | 0.8 | 17 | 37 | 55.6% | C | |
| LiveCodeBench | 0.3 | 61 | 73 | 16.7% | C | |
| SWE-Bench Verified | 0.2 | 102 | 104 | 1.9% | C | |
| AIME 2025 | 0.2 | 110 | 114 | 3.5% | C | |
| GPQA | 0.4 | 204 | 233 | 12.5% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
The default version has no provider offering with current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Gemini Diffusion | 27.2 | N/A | N/A | N/A | No | Proprietary |
A concise description based on the published model registry.
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.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Gemini Diffusion.
Gemini Diffusion's default version was released on May 20, 2025.
No official standard PAYG price is currently available for Gemini Diffusion.
Gemini Diffusion is published under Google in the model registry.
The current registry does not publish a context window for the default version.
No. The default version is not marked as having publicly available weights.
No published provider offering is currently linked to the default version.
Nearby ranked alternatives include GPT-4.1, Qwen3.5 4B, GPT-4o.