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features
design
support

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Description

Professional prompt editors utilizing models like GPT-4o, Claude 3 Opus, and Gemini-1.5, along with function call simulation capabilities, enable the creation of diverse projects tailored for various use cases with distinct project members and configurations. Each member can have different access control levels, promoting collaborative prompting and sharing. Users can incorporate multiple image inputs in their messages while having control over individual detail parameters, facilitating easy manipulation of each message. The function call schema editor allows for simulation of function call returns seamlessly, and inline variables in prompts enable the running and comparison of results across different variable groups simultaneously. All sensitive information is secured through RSA-OAEP and AES-256-GCM encryption during both transmission and storage, ensuring privacy and data integrity. With Knit, no edits are ever lost, as all edit history is meticulously saved and can be restored at any moment. The platform is compatible with various models, including OpenAI, Claude, and Azure OpenAI, with plans to expand support for even more models. Almost all API parameters can be adjusted within the prompt editors, allowing users to optimize their prompts effectively and discover the most suitable parameters for their needs. This comprehensive approach ensures a streamlined experience for prompt editing and model interaction, fostering creativity and collaboration across teams.

Description

Qwen3-Coder is a versatile coding model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version with 35B active parameters, which naturally accommodates 256K-token contexts that can be extended to 1M tokens. This model achieves impressive performance that rivals Claude Sonnet 4, having undergone pre-training on 7.5 trillion tokens, with 70% of that being code, and utilizing synthetic data refined through Qwen2.5-Coder to enhance both coding skills and overall capabilities. Furthermore, the model benefits from post-training techniques that leverage extensive, execution-guided reinforcement learning, which facilitates the generation of diverse test cases across 20,000 parallel environments, thereby excelling in multi-turn software engineering tasks such as SWE-Bench Verified without needing test-time scaling. In addition to the model itself, the open-source Qwen Code CLI, derived from Gemini Code, empowers users to deploy Qwen3-Coder in dynamic workflows with tailored prompts and function calling protocols, while also offering smooth integration with Node.js, OpenAI SDKs, and environment variables. This comprehensive ecosystem supports developers in optimizing their coding projects effectively and efficiently.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Gemini Yes 
Gemini Enterprise Yes 
OpenAI Yes 
Azure OpenAI Service Yes 
Brokk No 
Claude Opus 3 Yes 
GPT-4 Yes 
Gemini 1.5 Flash Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Flash Yes 
Gemini Nano Yes 
Google AI Plus Yes 
Okara No 
OpenClaw No 
OpenCode No 
Qwen2.5 No 
Shiori No 
SiliconFlow No 
Tinfoil No 
Together AI No 

Integrations

Gemini Yes 
Gemini Enterprise Yes 
OpenAI Yes 
Azure OpenAI Service No 
Brokk Yes 
Claude Opus 3 No 
GPT-4 No 
Gemini 1.5 Flash No 
Gemini 1.5 Pro No 
Gemini 2.0 Flash No 
Gemini Nano No 
Google AI Plus No 
Okara Yes 
OpenClaw Yes 
OpenCode Yes 
Qwen2.5 Yes 
Shiori Yes 
SiliconFlow Yes 
Tinfoil Yes 
Together AI Yes 

Pricing Details

$7 per month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

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) Yes 
In Person No 

Vendor Details

Company Name

PromptKnit

Website

promptknit.com

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

qwenlm.github.io/blog/qwen3-coder/

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Product Features

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