google AI Models

Approved models

97

Records published from this collection

Provider information

lab

Review approach

Verify each model’s source, terms, capabilities, and current availability

google models in this directory cover any-to-any, table question answering, unconditional image generation, zero-shot image classification, zero-shot object detection. Start with the task you need to solve, then open a model profile to check its recorded inputs, outputs, licensing and deployment options.

Models to explore

Choosing a model

Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions. Open-weight checkpoints need a runtime and enough memory for the exact format you select; a repository listing alone does not provide a hosted API.

Compare the right details

Check whether two entries describe distinct models or different hosted routes for the same model. Keep the checkpoint, host, test settings and evaluation date together. Missing prices and limits mean the directory has no recorded figure, not that use is free or unlimited.

Browse the AI model directory or compare two models.

google model list

Review each record individually; collection membership does not imply a recommendation or guarantee of availability.

97 models
google/gemma-4-12B-it
google
61.2262.14K$0.06$0.30—
google/diffusiongemma-26B-A4B-it
google
5.0————
google/gemma-4-26B-A4B-it
google
60.6262.14K———
google/gemma-4-31B-it
google
60.6262.14K———
google/gemma-4-E2B-it
google
55.7131.07K$0.02$0.10—
google/gemma-4-E4B-it
google
55.7131.07K$0.04$0.20—
google/gemma-3-4b-it
google
5.0————
google/gemma-3-12b-it
google
26.5131.07K$0.05$0.10—
google/bigbird-pegasus-large-arxiv
google
0.0————
google/bigbird-pegasus-large-pubmed
google
0.0————
google/ddpm-bedroom-256
google
10.0————
google/ddpm-cat-256
google
10.0————
google/ddpm-celebahq-256
google
10.0————
google/ddpm-church-256
google
10.0————
google/ddpm-cifar10-32
google
10.0————
google/ddpm-ema-bedroom-256
google
10.0————
google/ddpm-ema-cat-256
google
10.0————
google/ddpm-ema-celebahq-256
google
10.0————
google/ddpm-ema-church-256
google
10.0————
google/deplot
google
5.0————
google/embeddinggemma-300m
google
5.0————
google/gemma-3-1b-it
google
0.0————
google/gemma-3-270m
google
0.0————
google/gemma-4-12B
google
20.0————
google/gemma-4-12B-it-assistant
google
20.0————
google/gemma-4-12B-it-qat-q4_0-gguf
google
20.0————
google/gemma-4-12B-it-qat-q4_0-unquantized
google
20.0————
google/gemma-4-12B-it-qat-q4_0-unquantized-assistant
google
20.0————
google/gemma-4-12B-it-qat-w4a16-ct
google
20.0————
google/gemma-4-26B-A4B-it-assistant
google
20.0————
google/gemma-4-31B-it-assistant
google
20.0————
google/gemma-4-31B-it-qat-w4a16-ct
google
5.0————
google/gemma-4-E2B
google
20.0————
google/gemma-4-E2B-it-qat-mobile-ct
google
20.0————
google/gemma-4-E2B-it-qat-q4_0-gguf
google
20.0————
google/gemma-4-E2B-it-qat-w4a16-ct
google
20.0————
google/gemma-4-E4B
google
20.0————
google/gemma-4-E4B-it-assistant
google
20.0————
google/gemma-4-E4B-it-qat-q4_0-gguf
google
20.0————
google/gemma-4-E4B-it-qat-w4a16-ct
google
20.0————
google/madlad400-3b-mt
google
0.0————
google/ncsnpp-celebahq-256
google
10.0————
google/ncsnpp-ffhq-256
google
10.0————
google/owlv2-base-patch16
google
10.0————
google/owlv2-base-patch16-ensemble
google
10.0————
google/owlv2-base-patch16-finetuned
google
10.0————
google/owlv2-large-patch14
google
10.0————
google/owlv2-large-patch14-ensemble
google
10.0————
google/owlv2-large-patch14-finetuned
google
10.0————
google/owlvit-base-patch16
google
10.0————
google/owlvit-base-patch32
google
10.0————
google/owlvit-large-patch14
google
10.0————
google/pegasus-cnn_dailymail
google
0.0————
google/pegasus-large
google
0.0————
google/pegasus-multi_news
google
0.0————
google/pegasus-xsum
google
0.0————
google/pix2struct-ai2d-base
google
5.0————
google/pix2struct-base
google
5.0————
google/pix2struct-chartqa-base
google
5.0————
google/pix2struct-docvqa-base
google
5.0————

1–60 of 97 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

About google models

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.