LLMAnonymized

GLM 5V Turbo

Zhipu AI's native multimodal coding model for vision-to-code and agentic workflows.

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Provider
Zhipu AI (Z.ai)
Price
$1.50 in · $5 out / 1M
Context window
200K tokens
Released
April 1, 2026
License
Proprietary

What is GLM 5V Turbo?

GLM 5V Turbo is Zhipu AI's native multimodal foundation model for vision-based coding and agentic tasks. Released in April 2026, it processes images, video, text, and files to generate code, autonomously explore GUIs, and execute complex workflows through built-in reasoning and tool use.

Use it privately on Venice

On Venice, GLM 5V Turbo runs under an anonymized privacy tier with zero retention of your prompts — no storage, no profiling, no training reuse. You get the full multimodal coding and agentic capability without surrendering sovereignty over your data to Big-Tech infrastructure.

Anonymized
No prompt training
TEE · hardware enclave
End-to-end encrypted

What can it do?

Strengths
  • Native multimodal agent architecture built around CogViT, processing images, video, text, and files as core reasoning inputs rather than bolted-on modalities.
  • Design-to-code specialistconverts screenshots, mockups, and wireframes into runnable HTML, CSS, and JavaScript with strong layout fidelity.
  • Agent-ready toolchainsupports function calling, structured JSON output, reasoning, and web search for autonomous loops and long-horizon planning.
  • Efficient MoE inference routes only a subset of parameters per token, keeping latency low while handling complex coding tasks.
  • Handles long-context agent workflows and large codebases without losing coherence.
Limitations
  • Closed weightsnot open-source, so you cannot self-host, fine-tune, or audit the full model weights.
  • Not uncensoredcarries standard safety alignment, which may refuse certain edge-case requests.
  • Vision scope is coding-centricexcels at UI and design interpretation but is not optimized for open-ended visual creativity or general photorealistic understanding.
  • Text-only outputcan read images and video but cannot generate them.
  • Agent workflows benefit from explicit system prompting to keep long-horizon tasks on track and avoid looping.

GLM 5V Turbo capabilities

How to use it via API

Venice exposes an OpenAI-compatible API. Swap your base URL and call z-ai-glm-5v-turbo.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai-glm-5v-turbo",
    "messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
  }'

Specifications

MakerZhipu AI (Z.ai)
ReleasedApril 2026
ArchitectureMixture of Experts (MoE)
Parameters744B total, 40B active per token
Input modalityVideo, image, text, file
Output modalityText
Open weightsNo
Context window200K tokens
Max output32.768K tokens
CapabilitiesVision, Function calling, Reasoning, Web search, Code-optimized
Privacy on VeniceAnonymized — prompts not stored
Available on Venice sinceApr 2026

Pricing

Billed per token on Venice: $1.50 per 1M input tokens and $5 per 1M output tokens.

Input / 1M tokens
$1.50
Output / 1M tokens
$5
Cached input / 1M
$0.30

New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.

GLM 5V Turbo vs alternatives

ModelBest forContextOpen weightsPrice (Venice)
GLM 5V TurboMultimodal coding & agents200K tokensNo$1.50 in · $5 out / 1M
Claude Sonnet 4.6General reasoning & writing1M tokensNo$3.60 in · $18 out / 1M
DeepSeek V3.2Efficient open coding160K tokensYes$0.33 in · $0.48 out / 1M
GLM 5.1Long-context text & agents200K tokensYes$1.10 in · $4.15 out / 1M

The native vision-to-code choice with tool use and web search on Venice.

What is it good for?

  • Frontend development: turning Figma exports, screenshots, or hand-drawn sketches into production code.
  • Visual debugging and QA: analyzing UI screenshots to spot layout issues or accessibility problems.
  • Autonomous GUI agents: browsing interfaces, mapping elements, and executing actions via tool use.
  • Multimodal coding assistants: reading design docs, video demos, and code repos in a single long-context session.
  • Structured data extraction from mixed document types (images, PDFs, text) using JSON schema output.

Prompting tips

  • Upload high-resolution mockups and explicitly label the design system (colors, fonts, spacing) for pixel-perfect code reproduction.
  • Use structured output mode with a JSON schema when the model needs to return parsed UI hierarchies or component trees.
  • For agent loops, define tool schemas clearly and set max iteration limits to prevent runaway calls.
  • Combine web search with vision input when the task requires verifying live design references against current documentation.

Frequently asked questions

GLM 5V Turbo is Zhipu AI's native multimodal foundation model released in April 2026. It processes images, video, text, and files to perform design-to-code, GUI automation, and agentic coding workflows with built-in reasoning and tool use.

Venice bills GLM 5V Turbo at $1.50 per 1 million input tokens and $5 per 1 million output tokens. Cached input is $0.30 per 1 million tokens. You pay as you go with credits, with no subscription required.

New Venice accounts receive free credits and a daily allowance, so you can try GLM 5V Turbo without a credit card. Sustained use requires purchasing credits at the per-token rates.

No. GLM 5V Turbo is a closed-weights proprietary model. While Zhipu AI has released open models in the GLM family, this specific variant is not available as open-source weights for self-hosting.

Yes. It supports function calling, structured JSON output, multiple image inputs, video understanding, reasoning, and web search — making it suitable for autonomous agent workflows.

Choose GLM 5V Turbo for vision-based coding, design-to-code, and multimodal agent tasks at a lower price. Choose Claude Sonnet 4.6 if you need a generalist with a 1M token context for long documents and can pay the premium.

No. It accepts images, video, text, and files as inputs, but its output is text-only. It writes code, plans, and structured data rather than producing visual media.

It runs under Venice's anonymized tier: your prompts are not stored, profiled, or used for training. Venice provides zero retention, so your multimodal coding sessions leave no persistent history on the platform.

Related models

Run GLM 5V Turbo privately.

No prompt logging. No data used for training. Free to start — no credit card.

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