Z.AI: GLM 4.6V FlashXActive

z-ai/glm-4.6v-flash

GLM-4.6V-FlashX is the the paid version, offering higher capacity and stability， representing a significant iteration in the GLM series for multimodal capabilities. It supports toggling reasoning modes, with a training-time context window expanded to 128k tokens. Achieving state-of-the-art (SOTA) visual understanding accuracy at its parameter scale, it is the first visual model to natively integrate Function Call capability into its architecture. This establishes a seamless pipeline from "visual perception" to "executable actions (Action)", offering a unified technical foundation for multimodal agents in real-world business scenarios.

By:Z.aiInput Type:Output Type:Publish time:2025-12-08

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext

Z.ai

z-ai

-$0.0218-0.0437/ M tokens$0.2184-0.4367/ M tokensRead:0.0044/ M tokensWrite:-/ M tokens200K--

BigModel

bigmodel

-$0.0218-0.0437/ M tokens$0.2184-0.4367/ M tokensRead:0.0044/ M tokensWrite:-/ M tokens200K--

Uptime

24hours

Direct request success rate on AI Gateway and per-provider.

Oct 26, 18:34

Z.ai-

BigModel100.00%

Throughput

24hours

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

No data

Latency

24hours

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

No data

Activity

Token volume and request traffic to this model over time.

Token Consumption

Oct 25

Z.ai1.4K

BigModel173

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

No benchmark data is available for this model.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking

OpenCodeOpenCode is an open-source, MIT-licensed AI coding agent built by the team behind SST (now Anomaly), available as a terminal TUI/CLI, a desktop app, and IDE extensions. It is model-agnostic and works with many LLM providers or local models, letting developers explore codebases, plan changes, edit files, run shell commands, and use LSP and MCP integrations directly from their workflow.

469.5K58.41%

Claude CodeClaude Code is Anthropic's agentic coding tool that runs in the terminal, understands a project's codebase, edits files, runs commands, and handles workflows such as tests, debugging and git operations through natural-language instructions. It is also available as IDE extensions (VS Code, JetBrains), a desktop app and a web surface, and is used by developers to build features, fix bugs and automate routine development tasks.

185.3K

KiloKilo Code is an open-source AI coding agent from Kilo (Kilo-Org), available as a VS Code extension, JetBrains plugin, and standalone CLI. It turns natural-language instructions into multi-step development work — generating and refactoring code across files, running terminal commands, debugging, and reviewing pull requests — with specialized agent modes and support for hundreds of different models.

163.6K

MiMo CodeMiMo Code (MiMoCode) is an open-source, terminal-native AI coding agent developed by Xiaomi's MiMo team. It runs as a CLI in the terminal and can read and write code, execute commands, manage Git, and carry out long-running software engineering tasks, using a persistent cross-session memory system so it retains project context over time. Built as a derivative of the open-source OpenCode project under the MIT license, it works with a wide range of mainstream LLM providers in addition to Xiaomi's own MiMo models.

48.9K

OpenQiao Studio ChatOpenQiao Studio Chat is the built-in web chat workspace of the OpenQiao AI model aggregation platform, operated by OpenQiao Singapore. It lets users converse with many different large language models in a browser GUI, with features such as multi-model side-by-side comparison, multimodal file input, Artifacts generation, web search, image generation/editing and voice input/output.

3.2K

KelivoKelivo is an open-source, cross-platform LLM chat client built with Flutter by developer Chevey339, released under AGPL-3.0. It runs on Android, iOS, HarmonyOS, Windows, macOS and Linux, and lets users chat with models from providers such as OpenAI, Google Gemini and Anthropic. Features include custom assistants, multimodal input (images, PDF, Word), Markdown/LaTeX rendering, TTS, MCP tool integration, web search and local data backup.

Pi Coding AgentPi is an open-source, terminal-based AI coding agent created by Mario Zechner (badlogic) under the earendil-works/pi project. It runs locally in a project directory with a minimal built-in toolset (read, write, edit, bash) plus session management, and is designed to be extended with TypeScript extensions, skills, prompt templates, themes and shareable Pi packages. It works with many LLM providers and can be used interactively, in print/JSON mode, over an RPC protocol, or embedded via its SDK.

HermesHermes Agent is an open-source, self-improving autonomous AI agent released by Nous Research under the MIT license. It runs as a CLI/server-side agent with persistent memory, reusable skills, tool calling, browser automation, code execution, cron scheduling, and messaging gateways (Telegram, Discord, Slack, WhatsApp, Signal). It also supports multi-model workflows such as mixture-of-agents and debate-style deliberation, where several models answer in parallel and an aggregator produces the final response.

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