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features
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Description

ClinePass is a subscription service that provides access to open weight models within Cline, aimed at offering developers ample quotas and dependable access to powerful coding models without the hassle of managing different provider setups or API keys. Tailored for use with Cline IDE and CLI, this service allows developers to transition from registration to coding in just a few minutes; simply create an account, install Cline, choose the ClinePass provider, and begin coding. The platform features an agent harness optimized for open-weight model workflows, streamlining the development process. ClinePass encompasses a variety of open weight models from notable sources such as Z.ai, Moonshot AI, DeepSeek, MiniMax, MiMo, and Qwen. Among these models are GLM 5.2 for advanced reasoning, Kimi K2.7 Code specifically for coding tasks, and Kimi K2.6 designed for agentic workflows. Additionally, the service includes DeepSeek V4 Pro for handling extensive changes, DeepSeek V4 Flash for rapid iteration, MiniMax M3 catering to general coding needs, MiMo V2.5 Pro for professional workloads, MiMo V2.5 for efficient editing, Qwen3.7-Max suited for demanding tasks, and Qwen3.7-Plus offering a balanced approach to coding. This diverse array of models ensures that developers have the tools they need for a wide range of programming challenges.

Description

oMLX is an MLX server specifically designed for macOS, enhancing the efficiency and speed of local AI operations on Apple Silicon. It caters to the functional dynamics of coding agents by implementing paged SSD KV caching, which enables the persistence of cache blocks on disk; this means that previously accessed prefixes can be retrieved quickly across different requests and even after server restarts, thereby eliminating the need to recompute them from scratch. As a result, the time taken to generate the first token in lengthy contexts can be significantly reduced, dropping from a range of 30 to 90 seconds down to less than five seconds after the initial interaction. The server adeptly manages simultaneous requests through a continuous batching mechanism via mlx-lm’s BatchGenerator, which enhances overall generation throughput without requiring requests to queue up behind a single task. oMLX is capable of simultaneously serving a variety of models, including LLMs, vision-language models, embedding models, and rerankers, utilizing LRU eviction to manage memory constraints effectively. Furthermore, it is compatible with any MLX-format model sourced from Hugging Face, such as Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can also utilize models that are already present in the standard Hugging Face cache, directories associated with LM Studio, or any custom storage locations, ensuring a versatile user experience. This flexibility in model integration enhances the overall usability and practicality of oMLX for developers and researchers alike.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

DeepSeek Yes 
MiniMax Yes 
Qwen Yes 
Claude Code No 
Cline Yes 
Cursor No 
DeepSeek-V4-Flash Yes 
GLM-4.1V No 
GLM-5.2 Yes 
Gemma No 
JSON No 
Kimi K2.7 Code Yes 
Kimi K3 Yes 
MiMo-V2.6-Flash Yes 
Model Context Protocol (MCP) No 
OpenAI No 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-27B Yes 
Qwen3.8-Max Yes 
Z.ai Yes 

Integrations

DeepSeek Yes 
MiniMax Yes 
Qwen Yes 
Claude Code Yes 
Cline No 
Cursor Yes 
DeepSeek-V4-Flash No 
GLM-4.1V Yes 
GLM-5.2 No 
Gemma Yes 
JSON Yes 
Kimi K2.7 Code No 
Kimi K3 No 
MiMo-V2.6-Flash No 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
Qwen3.8-2.4T-A95B No 
Qwen3.8-27B No 
Qwen3.8-Max No 
Z.ai No 

Pricing Details

$4.99 per month
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Deployment

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

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

Cline

Country

United States

Website

cline.bot/cline-pass

Vendor Details

Company Name

oMLX

Country

United States

Website

omlx.ai/

Product Features

Product Features

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