LLMPrivate

GLM 4.7

Z.AI's open-weight coding and reasoning model that runs privately on Venice with tool use and zero retention.

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Provider
Z.AI
Price
$0.55 in · $2.65 out / 1M
Context window
198K tokens
Released
January 1, 2025
License
MIT

What is GLM 4.7?

GLM 4.7 is Z.AI's open-weight text model released in 2025, optimized for agentic coding, reasoning, and tool use. It supports function calling, web search, and structured output, runs under the MIT license, and is available on Venice with zero prompt retention as the default model for tool use.

Use it privately on Venice

On Venice, GLM 4.7 runs with zero retention — your prompts are not stored, profiled, or used for training. It is the default model for tool use and carries the 'Most intelligent' trait, offering function calling, reasoning, and web search without Big-Tech surveillance. You pay only for tokens used, with no subscription lock-in.

Private (zero retention)
No prompt training
TEE · hardware enclave
End-to-end encrypted

What can it do?

Strengths
  • Open weights under MIT license, enabling self-hosting and fine-tuning outside Venice.
  • Strong agentic coding and terminal-task performance, with native support for reasoning before acting.
  • Built-in tool usefunction calling, web search, and structured JSON output for system integration.
  • Cost-efficient per-token pricing compared to closed frontier models.
  • Default tool-use model on Venice with the 'Most intelligent' trait.
Limitations
  • Quantized to fp4 on Venice, which may trade marginal precision for speed and cost.
  • Not uncensored; it retains standard safety alignment.
  • GLM 5.1 surpasses it on the latest SOTA agentic coding benchmarks.
  • Text-only — no native vision or image understanding.

GLM 4.7 capabilities

How to use it via API

Venice exposes an OpenAI-compatible API. Swap your base URL and call zai-org-glm-4.7.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-4.7",
    "messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
  }'

Specifications

MakerZ.AI (Zhipu AI)
Released2025
ModalityText
LicenseMIT
Open weightsYes
Context window198K tokens
Max output16.384K tokens
CapabilitiesFunction calling, Reasoning, Web search
Privacy on VenicePrivate — zero retention
Available on Venice sinceDec 2025

Pricing

Billed per token on Venice: $0.55 per 1M input tokens and $2.65 per 1M output tokens.

Input / 1M tokens
$0.55
Output / 1M tokens
$2.65
Cached input / 1M
$0.11

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

GLM 4.7 vs alternatives

ModelPrice (Venice)Context windowOpen weights
GLM 4.7$0.55 in · $2.65 out / 1M198K tokensYes
DeepSeek V3.2$0.33 in · $0.48 out / 1M160K tokensYes
Kimi K2.6$0.75 in · $3.50 out / 1M256K tokensYes
GLM 5.1$1.10 in · $4.15 out / 1M200K tokensYes

The balanced open-weight workhorse — strong coding, tool use, and vibe generation at a mid-tier price.

What is it good for?

  • Agentic coding assistants and terminal-based automation.
  • Tool-using AI agents that require web search or API orchestration.
  • Vibe coding and UI generation with modern layout quality.
  • High-volume chat and reasoning workloads where open weights and cost matter.

Prompting tips

  • Use structured JSON schema when integrating with external systems.
  • Enable reasoning mode for multi-step math and logic tasks.
  • For coding, provide project-level context and clear engineering standards to maximize agentic performance.

Frequently asked questions

GLM 4.7 is Z.AI's open-weight text model released in 2025, optimized for agentic coding, reasoning, and tool use. It supports function calling, web search, and structured output, and is available on Venice with zero prompt retention.

On Venice, GLM 4.7 is billed at $0.55 per 1M input tokens and $2.65 per 1M output tokens, with cached input at $0.11 per 1M. There is no subscription required.

Yes. GLM 4.7 is released under the MIT license with open weights available on Hugging Face, so you can self-host or fine-tune it. Running it on Venice is pay-per-token.

Yes. It supports function calling, web search, and structured JSON output, making it well-suited for agentic workflows and coding assistants.

No. While it runs privately on Venice with zero retention, the model itself is not uncensored and retains standard safety alignment.

GLM 5.1 is Z.AI's newer flagship with stronger SOTA coding performance, but GLM 4.7 is cheaper per token and still excellent for general coding, tool use, and chat. Choose 4.7 for cost efficiency and mature stability; choose 5.1 for maximum agentic coding power.

It runs under Venice's private tier with zero retention — your prompts are not stored, profiled, or used for training. It does not currently run in a TEE or end-to-end encrypted session.

Agentic coding, terminal-based tasks, vibe coding with UI generation, tool-using agents, and complex reasoning that requires function calling or web search.

Related models

Run GLM 4.7 privately.

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

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