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What is Mobile Labs?
Order a pizza, and by the time it arrives, you’ll have GigaFox set up, with your first Appium test already in motion. Jump into scripting immediately with GigaFox’s built-in, efficient, and reliable Appium server, allowing you to dive right into your work. You’ll have ample time to savor your meal since we've taken care of all the tedious processes involved in downloading, installing, and setting up Appium. Our commitment to speed means you’ll be mastering Appium in no time. Mobile Labs is devoted to your success in Appium, working alongside you at every stage to guarantee positive outcomes. With our exceptional customer support for the Appium server, you won’t find yourself waiting on unreliable help from public forums. Our knowledgeable Appium experts are always on hand, ready to assist whenever you require guidance. Are you prepared to take the reins of your Appium testing and enhance your workflow effectively? GigaFox streamlines the entire Appium experience, enabling you to craft tests with extraordinary ease and speed. With GigaFox, your focus remains on delivering top-notch software more quickly than ever, ensuring you stay ahead in the competitive landscape. Experience the difference as GigaFox transforms your approach to Appium testing, making it not just simpler, but also more enjoyable.
What is GigaChat 3 Ultra?
GigaChat 3 Ultra is a breakthrough open-source LLM, offering 702 billion parameters built on an advanced MoE architecture that keeps computation efficient while delivering frontier-level performance. Its design activates only 36 billion parameters per step, combining high intelligence with practical deployment speeds, even for research and enterprise workloads. The model is trained entirely from scratch on a 14-trillion-token dataset spanning ten+ languages, expansive natural corpora, technical literature, competitive programming problems, academic datasets, and more than 5.5 trillion synthetic tokens engineered to enhance reasoning depth. This approach enables the model to achieve exceptional Russian-language capabilities, strong multilingual performance, and competitive global benchmark scores across math (GSM8K, MATH-500), programming (HumanEval+), and domain-specific evaluations. GigaChat 3 Ultra is optimized for compatibility with modern open-source tooling, enabling fine-tuning, inference, and integration using standard frameworks without complex custom builds. Advanced engineering techniques—including MTP, MLA, expert balancing, and large-scale distributed training—ensure stable learning at enormous scale while preserving fast inference. Beyond raw intelligence, the model includes upgraded alignment, improved conversational behavior, and a refined chat template using TypeScript-based function definitions for cleaner, more efficient interactions. It also features a built-in code interpreter, enhanced search subsystem with query reformulation, long-term user memory capabilities, and improved Russian-language stylistic accuracy down to punctuation and orthography. With leading performance on Russian benchmarks and strong showings across international tests, GigaChat 3 Ultra stands among the top five largest and most advanced open-source LLMs in the world. It represents a major engineering milestone for the open community.
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Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Free
Open source
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Customer Service / Support
24 Hour Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Mobile Labs
Date Founded
2012
Company Location
United States
Company Website
mobilelabsinc.com
Company Facts
Organization Name
Sberbank
Date Founded
1841
Company Location
Russia
Company Website
giga.chat
Categories and Features
Automated Testing
Hierarchical View
Parameterized Testing
Requirements-Based Testing
Supports Parallel Execution
Categories and Features
AI Models
Not specified
Large Language Models
Not specified