Using GLM-5 on Vercel AI Gateway

Implementation guide · GLM-5 · Zhipu AI

ServerlessOpen Source

Vercel AI Gateway exposes GLM-5 through model ID zai/glm-5. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-30. Next refresh: weekly.

Quick Start

1
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call zai/glm-5 — see the documentation for request format.
3
You'll be billed $1.00/1M input, $3.20/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

zai/glm-5

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="zai/glm-5",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$1.00
Output tokens	$3.20

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

About GLM-5

Flagship open-weight foundation model from Zhipu AI with 744B parameters (40B active per token) in Mixture of Experts architecture. Trained on 28.5T tokens using DeepSeek Sparse Attention on Huawei Ascend hardware. Achieves state-of-the-art performance on coding and agentic benchmarks (SWE-bench Verified: 77.8%). Supports autonomous planning, multi-step tool use, and self-correction.

Full model details →

Model Specs

Released2026-02-11

Parameters744B total, 40B active

Context200k

ArchitectureMixture of Experts

Knowledge cutoff2025-11

Vercel