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Average Ratings 0 Ratings

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features
design
support

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Description

Gemini 4 Pro is the expected high-capability model in Google's developing Gemini 4 generation, but Google has not yet formally announced a model carrying the Gemini 4 Pro name. Google confirmed in July 2026 that it had begun pre-training Gemini 4 as part of what was described as its most ambitious model training effort to date. By September, Google DeepMind leadership said Gemini 4 had advanced into its refinement stage and that the team was working toward releasing an early post-training version as soon as possible. Gemini 4 follows a series of Gemini 3.x models spanning general-purpose, Flash, Live, transcription, and specialized cybersecurity workloads. Google's Pro models are generally designed for higher-complexity reasoning and coding tasks, while its Flash models emphasize lower latency, efficiency, and production-scale economics. Gemini's broader platform already supports multimodal interaction, coding, tool use, connected applications, computer-use capabilities, and agentic experiences across Google products. Google has increasingly emphasized agents that can take actions and complete multi-step workflows rather than limiting Gemini to conversational responses. Specific benchmark scores, context limits, token pricing, supported modalities, and API details have not yet been published for Gemini 4 Pro. Reports claiming detailed Gemini 4 Pro specifications ahead of launch remain unconfirmed and should not be treated as official product information.

Description

LLaVA, or Large Language-and-Vision Assistant, represents a groundbreaking multimodal model that combines a vision encoder with the Vicuna language model, enabling enhanced understanding of both visual and textual information. By employing end-to-end training, LLaVA showcases remarkable conversational abilities, mirroring the multimodal features found in models such as GPT-4. Significantly, LLaVA-1.5 has reached cutting-edge performance on 11 different benchmarks, leveraging publicly accessible data and achieving completion of its training in about one day on a single 8-A100 node, outperforming approaches that depend on massive datasets. The model's development included the construction of a multimodal instruction-following dataset, which was produced using a language-only variant of GPT-4. This dataset consists of 158,000 distinct language-image instruction-following examples, featuring dialogues, intricate descriptions, and advanced reasoning challenges. Such a comprehensive dataset has played a crucial role in equipping LLaVA to handle a diverse range of tasks related to vision and language with great efficiency. In essence, LLaVA not only enhances the interaction between visual and textual modalities but also sets a new benchmark in the field of multimodal AI.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Agent Search on Gemini Enterprise Agent Platform Yes 
C Yes 
Dart Yes 
Devin Desktop Yes 
GPT-4 No 
Gemini 3.5 Flash-Lite Yes 
Gemini Computer Use Yes 
Gemini Enterprise Agent Platform Yes 
Go Yes 
Google Yes 
Google AI Ultra Yes 
JavaScript Yes 
JetBrains Junie Yes 
Kubernetes Yes 
Objective-C Yes 
Replit Yes 
Rust Yes 
SQL Yes 
Wikis.ai Yes 
YAML Yes 

Integrations

Agent Search on Gemini Enterprise Agent Platform No 
C No 
Dart No 
Devin Desktop No 
GPT-4 Yes 
Gemini 3.5 Flash-Lite No 
Gemini Computer Use No 
Gemini Enterprise Agent Platform No 
Go No 
Google No 
Google AI Ultra No 
JavaScript No 
JetBrains Junie No 
Kubernetes No 
Objective-C No 
Replit No 
Rust No 
SQL No 
Wikis.ai No 
YAML No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.com

Vendor Details

Company Name

LLaVA

Website

llava-vl.github.io

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