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About

Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning, scaling test‑case generation for diverse coding challenges, and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and environment variables.

About

Twigg is a context-management tool designed for long-term interactions with large language models that replaces linear chat threads with a visual, branching tree of conversation nodes, giving users control over what context is sent to the model. You can explore alternate directions by instantly creating new branches from any point, cutting or copying nodes, deleting or moving content to optimize the prompt context, and thus improve performance while managing complexity. The interface provides a dashboard tracking token usage per model and shows credit consumption transparently. By controlling context at the node level, Twigg helps reduce unnecessary tokens and supports the concurrency of ideas without cluttering your main workflow. Compatible with major models (via BYOK support) and designed for extended projects, Twigg essentially acts as “Git for LLMs”, enabling versioning, branching, and precise context management for conversational AI workflows.

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 researchers and software engineers wanting a solution offering an agentic coding model with large‑context support and turnkey CLI tools for real‑world, automated code generation

Audience

Developers, researchers and AI teams interested in a solution to manage context, maintain clarity, and reduce token-waste

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

$6.66 per month
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

Qwen
Founded: 2023
China
qwenlm.github.io/blog/qwen3-coder/

Company Information

Twigg
Founded: 2025
United States
twigg.ai/

Alternatives

Composer 1

Composer 1

Cursor

Alternatives

DeepCoder

DeepCoder

Agentica Project
DeepSWE

DeepSWE

Agentica Project

Categories

Categories

Integrations

Alibaba Cloud
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
OpenCode
Qwen2.5
SiliconFlow
Tinfoil

Integrations

Alibaba Cloud
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
OpenCode
Qwen2.5
SiliconFlow
Tinfoil
Claim Qwen3-Coder and update features and information
Claim Qwen3-Coder and update features and information
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