Pixtral Large

Pixtral Large

Mistral AI
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About

Pixtral Large is a 124-billion-parameter open-weight multimodal model developed by Mistral AI, building upon their Mistral Large 2 architecture. It integrates a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, enabling advanced understanding of documents, charts, and natural images while maintaining leading text comprehension capabilities. With a context window of 128,000 tokens, Pixtral Large can process at least 30 high-resolution images simultaneously. The model has demonstrated state-of-the-art performance on benchmarks such as MathVista, DocVQA, and VQAv2, surpassing models like GPT-4o and Gemini-1.5 Pro. Pixtral Large is available under the Mistral Research License for research and educational use, and under the Mistral Commercial License for commercial applications.

About

Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers interested in a powerful multimodal model

Audience

Developers, researchers, and AI teams seeking to run or study an efficient multimodal open-weight model with long-context reasoning, coding, multilingual, and agentic capabilities

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

$2 per 1M (input)
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/pixtral-large/

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

Aya Vision

Aya Vision

Cohere

Alternatives

Mistral Small

Mistral Small

Mistral AI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Mistral 7B

Mistral 7B

Mistral AI
Qwen3.5

Qwen3.5

Alibaba
Ministral 3

Ministral 3

Mistral AI

Categories

Categories

Integrations

302.AI
APIPark
Alibaba Cloud Model Studio
Amazon Bedrock
Expanse
HoneyHive
Microsoft Foundry Agent Service
MindMac
Model Context Protocol (MCP)
ModelScope
Msty
OpenClaw
Overseer AI
Python
Qwen
QwenWork
Ragas
Weave
WebLLM
Wordware

Integrations

302.AI
APIPark
Alibaba Cloud Model Studio
Amazon Bedrock
Expanse
HoneyHive
Microsoft Foundry Agent Service
MindMac
Model Context Protocol (MCP)
ModelScope
Msty
OpenClaw
Overseer AI
Python
Qwen
QwenWork
Ragas
Weave
WebLLM
Wordware
Claim Pixtral Large and update features and information
Claim Pixtral Large and update features and information
Claim Qwen3.8-Flash-Next and update features and information
Claim Qwen3.8-Flash-Next and update features and information