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About

OpenCompress is an open source AI optimization layer designed to reduce the cost, latency, and token usage of large language model interactions by compressing both input prompts and generated outputs without significantly affecting quality. It works as a drop-in middleware that sits in front of any LLM provider, allowing developers to use models like GPT, Claude, Gemini, and others while automatically optimizing every request behind the scenes. It focuses on reducing token waste through a multi-stage pipeline that includes techniques such as code minification, dictionary aliasing, and structured compression of repeated content, enabling more efficient use of context windows and lowering computational overhead. It is model-agnostic and integrates seamlessly with any provider that supports an OpenAI-compatible API, meaning developers can adopt it without changing their existing workflows or infrastructure.

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

Developers and AI teams who want to reduce LLM costs and latency by automatically compressing prompts and responses without changing their existing workflows

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

Screenshots and Videos

Pricing

Free
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

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

Review this Software

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

OpenCompress
United States
www.opencompress.ai/

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Qwen3.5

Qwen3.5

Alibaba
UPX

UPX

UPX Cybersecurity

Categories

Categories

Integrations

Qwen
Alibaba Cloud Model Studio
Amazon SageMaker
Claude Code
Gemini
Google Cloud Platform
Grok
Hermes Agent
Hugging Face
Meta AI
MiniMax
Mistral AI
Model Context Protocol (MCP)
Odysseus
OfoxAI
Ollama
OpenAI
Qwen Code
Qwen Studio
QwenCloud

Integrations

Qwen
Alibaba Cloud Model Studio
Amazon SageMaker
Claude Code
Gemini
Google Cloud Platform
Grok
Hermes Agent
Hugging Face
Meta AI
MiniMax
Mistral AI
Model Context Protocol (MCP)
Odysseus
OfoxAI
Ollama
OpenAI
Qwen Code
Qwen Studio
QwenCloud
Claim OpenCompress and update features and information
Claim OpenCompress 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