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Average Ratings 0 Ratings

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features
design
support

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Description

GigaChat 3 Ultra redefines open-source scale by delivering a 702B-parameter frontier model purpose-built for Russian and multilingual understanding. Designed with a modern MoE architecture, it achieves the reasoning strength of giant dense models while using only a fraction of active parameters per generation step. Its massive 14T-token training corpus includes natural human text, curated multilingual sources, extensive STEM materials, and billions of high-quality synthetic examples crafted to boost logic, math, and programming skills. This model is not a derivative or retrained foreign LLM—it is a ground-up build engineered to capture cultural nuance, linguistic accuracy, and reliable long-context performance. GigaChat 3 Ultra integrates seamlessly with open-source tooling like vLLM, sglang, DeepSeek-class architectures, and HuggingFace-based training stacks. It supports advanced capabilities including a code interpreter, improved chat template, memory system, contextual search reformulation, and 128K context windows. Benchmarking shows clear improvements over previous GigaChat generations and competitive results against global leaders in coding, reasoning, and cross-domain tasks. Overall, GigaChat 3 Ultra empowers teams to explore frontier-scale AI without sacrificing transparency, customizability, or ecosystem compatibility.

Description

Pixtral Large is an expansive multimodal model featuring 124 billion parameters, crafted by Mistral AI and enhancing their previous Mistral Large 2 framework. This model combines a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, allowing it to excel in the interpretation of various content types, including documents, charts, and natural images, all while retaining superior text comprehension abilities. With the capability to manage a context window of 128,000 tokens, Pixtral Large can efficiently analyze at least 30 high-resolution images at once. It has achieved remarkable results on benchmarks like MathVista, DocVQA, and VQAv2, outpacing competitors such as GPT-4o and Gemini-1.5 Pro. Available for research and educational purposes under the Mistral Research License, it also has a Mistral Commercial License for business applications. This versatility makes Pixtral Large a valuable tool for both academic research and commercial innovations.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

1min.AI No 
AiAssistWorks No 
Arize Phoenix No 
Diaflow No 
EvalsOne No 
Expanse No 
GMTech No 
GigaChat Yes 
HoneyHive No 
Langflow No 
Lewis No 
Mathstral No 
Mistral AI No 
Msty No 
Noma No 
Nutanix Enterprise AI No 
PI Prompts No 
Unify AI No 
Verta No 
bolt.diy No 

Integrations

1min.AI Yes 
AiAssistWorks Yes 
Arize Phoenix Yes 
Diaflow Yes 
EvalsOne Yes 
Expanse Yes 
GMTech Yes 
GigaChat No 
HoneyHive Yes 
Langflow Yes 
Lewis Yes 
Mathstral Yes 
Mistral AI Yes 
Msty Yes 
Noma Yes 
Nutanix Enterprise AI Yes 
PI Prompts Yes 
Unify AI Yes 
Verta Yes 
bolt.diy Yes 

Pricing Details

Free
Open source
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 Yes 
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 No 

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

Sberbank

Founded

1841

Country

Russia

Website

giga.chat

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/pixtral-large/

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