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Description

GLM-5.3-Flash is a multimodal foundation model from Z.ai built for high-efficiency reasoning, coding, agents, and visual understanding. The model contains 320 billion parameters in total but activates only 18 billion parameters during inference, helping reduce compute requirements. Its architecture combines linear attention with sparse attention so it can efficiently handle both local dependencies and relevant information spread across very long contexts. Z.ai also introduced IndexPool to reduce the memory and latency overhead associated with long-context retrieval at context lengths reaching one million tokens. The model was pretrained on a 30-trillion-token multimodal dataset that incorporates both textual and visual information. GLM-5.3-Flash is designed for software engineering tasks, autonomous workflows, frontend development, computer use, document analysis, and other professional workloads that benefit from visual reasoning. Its visual coding capabilities allow it to inspect rendered interfaces, identify layout or interaction problems, and use those observations to revise its work. Benchmark results published by Z.ai show that it improves substantially over GLM-5.2 on multiple coding and agentic tests while remaining competitive with more expensive frontier models. GLM-5.3-Flash can be accessed through Z.ai services and is also available as downloadable model weights for deployment through supported open inference frameworks.

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

Cheaper Inference
Claude Code
Claude Fable 5
Claude Mythos 5
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
Claude Opus 5
GPT-5 mini
Gemini 2.0 Flash
Hermes Agent
OpenClaw
OpenCode Go
OpenCode Zen
OpenRouter
Pi Agent
Z.ai
omp

Integrations

Cheaper Inference
Claude Code
Claude Fable 5
Claude Mythos 5
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
Claude Opus 5
GPT-5 mini
Gemini 2.0 Flash
Hermes Agent
OpenClaw
OpenCode Go
OpenCode Zen
OpenRouter
Pi Agent
Z.ai
omp

Pricing Details

$0.15 per 1M tokens (input)
Input: $0.15 per 1M tokens
Output: $0.50 per 1M tokens
Cached input: $0.03 per 1M tokens
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

Z.ai

Founded

2019

Country

China

Website

z.ai

Vendor Details

Company Name

Twigg

Founded

2025

Country

United States

Website

twigg.ai/

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