Average Ratings 1 Rating

Total
ease
features

Average Ratings 1 Rating

Total
ease
features
design
support

Description

DeepSeek-V4.1-Flash-1017 is an open-weight multimodal AI model designed for complex reasoning, autonomous agents, software development, and visual analysis. The model is an updated version of DeepSeek-V4.1-Flash, with improvements in benchmark performance, execution speed, and output efficiency. It supports text and image processing, enabling applications that combine natural language understanding with visual interpretation and reasoning. Its one-million-token context window allows developers to analyze large documents, extensive software repositories, and lengthy interactions while maintaining contextual information. Coding capabilities include generating software, debugging existing applications, modifying codebases, and completing multistep engineering assignments. The model also supports end-to-end project generation, including interactive games, 3D scenes, and other software applications. Agentic functionality includes external tool calling, configurable reasoning effort, multi-turn conversations, and workflows involving automated research and task execution. DeepSeek provides prompt encoding libraries, inference examples, and compatibility with deployment frameworks such as Hugging Face Transformers, vLLM, and SGLang. DeepSeek-V4.1-Flash-1017 is distributed under the MIT License and can be accessed through DeepSeek's website, mobile application, and API or deployed using its publicly available model weights.

Description

Gemma 4 is an advanced AI model developed by Google as part of its Gemini architecture, designed to deliver strong performance while remaining accessible to developers. The model is optimized to run on a single GPU or TPU, allowing more organizations and researchers to experiment with powerful AI technology. Gemma 4 improves natural language understanding and generation, making it suitable for applications such as chatbots, text analysis, and automated content creation. Its architecture enables the model to process complex language patterns while maintaining efficient computational performance. Developers can integrate Gemma 4 into various AI projects that require intelligent text processing or conversational capabilities. The model is designed with scalability in mind, allowing it to support both research experiments and production systems. By offering high-performance AI in a more accessible format, Gemma 4 lowers the barrier for developing sophisticated AI solutions. Its flexibility makes it useful for industries ranging from technology and education to business automation. Researchers can also use the model to explore new AI techniques and improve language processing systems. Overall, Gemma 4 represents a step forward in making powerful AI models easier to deploy and use.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

OpenTag Yes 
Vercel AI Gateway Yes 
BaseRT No 
Buda Yes 
C# No 
C++ No 
Clearview Elite No 
DeepSeek-V4 Yes 
Gemini 2.0 No 
HTML No 
JavaScript No 
Kaggle No 
LFM2.5 No 
Novita AI Yes 
OpenClaw Yes 
PyTorch No 
R No 
RagmyAI No 
Reasonix Yes 
ZooClaw Yes 

Integrations

OpenTag Yes 
Vercel AI Gateway Yes 
BaseRT Yes 
Buda No 
C# Yes 
C++ Yes 
Clearview Elite Yes 
DeepSeek-V4 No 
Gemini 2.0 Yes 
HTML Yes 
JavaScript Yes 
Kaggle Yes 
LFM2.5 Yes 
Novita AI No 
OpenClaw No 
PyTorch Yes 
R Yes 
RagmyAI Yes 
Reasonix No 
ZooClaw No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

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) No 
In Person No 

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

deepmind.google/models/gemma/

Alternatives

Alternatives

GPT-6.1 Sol Reviews

GPT-6.1 Sol

OpenAI
DeepSeek-V4 Reviews

DeepSeek-V4

DeepSeek
Gemma 3 Reviews

Gemma 3

Google
GPT-6.1 Sol Reviews

GPT-6.1 Sol

OpenAI
GPT-5.6 Sol Reviews

GPT-5.6 Sol

OpenAI