Model Library
GoogleReleased June 10, 2026DiffusionGemma 26B A4B
Google · Released June 10, 2026
Intelligence score
13
At a glance
- Intelligence
- 13
- Speed
- —
- Latency
- —
- Input price
- Not published
- Output price
- Not published
- Context window
- 260Ktokens
- Parameters
- 25.2billions
Summary
Comparison summary
DiffusionGemma 26B A4B scores 13 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9).
Specifications
Technical specifications
| Model name | DiffusionGemma 26B A4B |
|---|---|
| Provider | |
| Release date | June 10, 2026 |
| Intelligence score | 13 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | Not published |
| Output price | Not published |
| Context window | 260,000 tokens |
| Parameters | 25.2B |
| Reasoning | Yes |
| Input modalities | text, image, video |
| Output modalities | — |
| Open weights | Yes |
| License | Apache 2 |
| API availability | — |
| Source | Model Intelligence legacy profile: diffusiongemma-26b-a4b |
FAQ · 17
Frequently asked questions
DiffusionGemma 26B A4B was released on June 10, 2026.
DiffusionGemma 26B A4B was created by Google.
DiffusionGemma 26B A4B scores 13 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9).
When evaluated on the Intelligence Index, DiffusionGemma 26B A4B generated 37M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 32M).
Yes, DiffusionGemma 26B A4B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
DiffusionGemma 26B A4B supports text, image, and video input.
DiffusionGemma 26B A4B supports text output.
Yes, DiffusionGemma 26B A4B supports image input and can analyze, describe, and answer questions about images.
Yes, DiffusionGemma 26B A4B is multimodal. It can process text, image, and video input and generate text output.
DiffusionGemma 26B A4B has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DiffusionGemma 26B A4B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
DiffusionGemma 26B A4B has 25.2 billion parameters (3.8 billion active).
DiffusionGemma 26B A4B is a Mixture of Experts (MoE) model with 25.2 billion total parameters, but only 3.8 billion active parameters are used during inference.
DiffusionGemma 26B A4B is released under the Apache 2.0 license. This license allows commercial use.
DiffusionGemma 26B A4B achieves a score of 13 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
DiffusionGemma 26B A4B is an open weights model that can be self-hosted.
DiffusionGemma 26B A4B is an open weights model that can be downloaded and self-hosted.