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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Twigg is an innovative tool for managing context that enhances long-term interactions with large language models by transforming traditional linear chat threads into a visually branching tree of conversation nodes, empowering users to dictate the context provided to the model. Users can easily explore different conversation paths by generating new branches from any node, and they can optimize their prompts by cutting, copying, deleting, or relocating content, which effectively boosts performance while simplifying complexity. The tool features a user-friendly dashboard that monitors token usage for each model and provides clear insights into credit consumption. By allowing control of context at the node level, Twigg minimizes unnecessary token usage and facilitates the concurrent development of ideas, all without overwhelming the primary workflow. It is compatible with leading models through a Bring Your Own Key (BYOK) system and is tailored for projects requiring extended engagement, positioning itself as the “Git for LLMs” by enabling version control, branching, and meticulous context management for conversational AI tasks. As a result, Twigg not only enhances the efficiency of interactions but also empowers users to refine their conversational strategies more effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Brokk
ChatGPT
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
GPT-5 mini
Gemini
Gemini 2.0 Flash
Gemini Enterprise
Nebius Token Factory
NexaSDK
Node.js
Okara
OpenAI
OpenClaw
OpenCode
Qwen2.5
Shiori
SiliconFlow
Together AI

Integrations

Brokk
ChatGPT
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
GPT-5 mini
Gemini
Gemini 2.0 Flash
Gemini Enterprise
Nebius Token Factory
NexaSDK
Node.js
Okara
OpenAI
OpenClaw
OpenCode
Qwen2.5
Shiori
SiliconFlow
Together AI

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$6.66 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

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

Vendor Details

Company Name

Twigg

Founded

2025

Country

United States

Website

twigg.ai/

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Product Features

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