What's new in GLM 5.2 compared to GLM-5.1?

GLM 5.2 extends the context window to 1.0M tokens, up from 200K on GLM-5.1, and posts higher scores on coding benchmarks like Terminal-Bench 2.1 and SWE-bench Pro. GLM 5.2 also carries project-level engineering context across a single task and runs long-running tasks more reliably.

Is GLM 5.2 open source?

The weights are published under the MIT License. Through AI Gateway you call hosted providers with the `zai/glm-5.2` identifier, so you get the model without managing weights or GPUs yourself.

Does GLM 5.2 support reasoning controls?

Yes. You can enable or disable thinking per request and set a reasoning effort level up to `max`. Lower effort answers faster; higher effort spends more tokens on hard problems.

How does GLM 5.2 differ from GLM 5.2 Fast?

`glm-5.2-fast` serves the same underlying weights on inference infrastructure tuned for higher throughput, at different per-token rates. Compare live throughput, latency, and pricing on each model's page and pick per workload.

What is the pricing for GLM 5.2?

Check the pricing panel on this page for today's numbers. AI Gateway tracks rates across every provider that serves GLM 5.2.

Does GLM 5.2 support Zero Data Retention?

Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.

Z.AI

GLM 5.2

GLM 5.2 is Z.AI's flagship open-weight model for long-horizon coding and agentic engineering, released June 16, 2026. A 1.0M tokens context window carries project-level engineering state, and selectable reasoning effort tunes depth per request. Your use is subject to Z.AI's Terms & Privacy Policies.

View API reference

Input and output price: Prices from: Input $0.70, Output $2.20, Per 1M tokens
24h uptime: Loading AI Gateway uptime

Get API key Read the docs

import { streamText } from 'ai'

const result = streamText({
  model: 'zai/glm-5.2',
  prompt: 'Why is the sky blue?'
})

Read docs

Overview Playground Providers Uptime Status Throughput Latency API Similar About FAQ

Copy link to headingPlayground

Try out GLM 5.2 by Z.AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

GLM 5.2

Copy link to headingProviders

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider

Context	Max Output	Latency	Throughput	Input	Output	Cache	Web Search	Capabilities	ZDR	No Training	Regional Inference	Free Tier	Release Date

Z.AI

Legal:Terms•Privacy

128K

1.0 s

179 tps

$1.40/M

$4.40/M

Read$0.26/M

—

06/16/2026

Baseten

Legal:Terms•Privacy

128K

1.0 s

117 tps

$1.40/M+1 more

$4.40/M+1 more

Read$0.14/M

—

06/16/2026

Going away Sep 25, 2026

Fireworks

Legal:Terms•Privacy

128K

0.7 s

102 tps

$1.40/M+2 more

$4.40/M+2 more

Read$0.14/M

—

06/16/2026

DeepInfra

Legal:Terms•Privacy

128K

0.4 s

75 tps

$0.75/M

$2.40/M

Read$0.14/M

—

06/16/2026

Parasail

Legal:Terms•Privacy

262K

128K

0.5 s

246 tps

$1.40/M

$4.40/M

Read$0.26/M

—

06/16/2026

Together AI

Legal:Terms•Privacy

256K

128K

0.2 s

281 tps

$1.40/M

$4.40/M

Read$0.26/M

—

06/16/2026

StreamLake

43% off

Legal:Terms•Privacy

128K

1.2 s

132 tps

$0.80/M

$2.52/M

Read$0.15/M

—

06/16/2026

Novita AI

35% off

Legal:Terms•Privacy

128K

1.5 s

63 tps

$0.90/M

$2.84/M

Read$0.17/M

—

06/16/2026

Alibaba Cloud

Legal:Terms•Privacy

128K

1.2 s

61 tps

$1.40/M+1 more

$4.40/M+1 more

Read$0.28/M

—

06/16/2026

Morph

Legal:Terms•Privacy

128K

0.7 s

55 tps

$0.84/M

$3.14/M

Read$0.17/M

—

06/16/2026

Crusoe

Legal:Terms•Privacy

262K

128K

0.5 s

361 tps

$1.40/M

$4.40/M

Read$0.26/M

—

06/16/2026

DigitalOcean

Legal:Terms•Privacy

262K

52K

1.2 s

114 tps

$0.70/M

$2.20/M

Read$0.11/M

—

06/16/2026

Nebius

Legal:Terms•Privacy

0.7 s

642 tps

$1.40/M

$4.40/M

—

06/16/2026

FriendliAI

Legal:Terms•Privacy

128K

0.2 s

166 tps

$1.40/M

$4.40/M

Read$0.26/M

—

06/16/2026

Runware

Legal:Terms•Privacy

128K

1.9 s

113 tps

$0.80/M

$2.55/M

Read$0.16/M

—

06/16/2026

Blackbox AI

Legal:Terms•Privacy

128K

1.6 s

201 tps

$0.80/M

$2.55/M

Read$0.16/M

—

06/16/2026

GMICloud

25% off

Legal:Terms•Privacy

4.1 s

62 tps

$1.05/M

$3.30/M

Read$0.20/M

—

06/16/2026

Inceptron

Legal:Terms•Privacy

0.6 s

99 tps

$1.20/M

$4.20/M

Read$0.26/M

—

06/16/2026

Getting started

Call GLM 5.2 through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.

Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.

index.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'zai/glm-5.2',
    prompt: 'Why is the sky blue?',
  });

  console.log(result.text);
}

main().catch(console.error);

Top-level parameters

The same GLM 5.2 request in each API format AI Gateway supports.

top-level-params.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'zai/glm-5.2',
    system: 'You are a concise technical assistant.',
    prompt: 'Summarize the tradeoffs between static generation and SSR.',
    maxOutputTokens: 1024,
  });

  console.log(result.text);
}

main().catch(console.error);

Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.

Parameter	Type	Required	Description
`model`	`string`	Yes	Model ID in the form `creator/model`, e.g. `zai/glm-5.2`. AI Gateway routes the request to an available provider.
`maxOutputTokens`	`number`	No	Hard cap on generated tokens. GLM 5.2 supports up to `1,048,576` output tokens. Reasoning tokens count toward this limit.
`reasoning`	`'provider-default' \| 'none' \| 'minimal' \| 'low' \| 'medium' \| 'high' \| 'xhigh'`	No	Provider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under `providerOptions` take precedence when both are set. See the Reasoning section below.
`providerOptions`	`Record<string, JSONValue>`	No	AI Gateway routing options under `gateway`, plus any provider-native options under the provider’s own namespace — see the table below.

Input limits

Input	Formats	Sources	Max count	Max size	Limits
Text	—	—	—	—	Prompt and response share the 1M-token context window

Provider options

Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.

Learn more in the AI SDK provider docs.

provider-options.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'zai/glm-5.2',
    prompt: 'Why is the sky blue?',
    providerOptions: {
      gateway: {
        only: ['zai', 'baseten'],
      },
    },
  });

  console.log(result.text);
}

main().catch(console.error);

These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.

Parameter	Type	Required	Description
`providerOptions.gateway.only`	`string[]`	No	Restrict routing to these provider slugs. Requests fail over only within the listed providers.
`providerOptions.gateway.order`	`string[]`	No	Preferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks.
`providerOptions.gateway.sort`	`'cost' \| 'ttft' \| 'tps'`	No	Rank candidate providers by price, time to first token, or tokens per second instead of the default routing order.
`providerOptions.gateway.zeroDataRetention`	`boolean`	No	Route only to providers with a zero-data-retention policy for this model.

Routing across providers

AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.

Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.

Reasoning

AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.

Learn more in the AI Gateway reasoning guide.

reasoning.ts

import { generateText } from 'ai';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'zai/glm-5.2',
    prompt: 'Explain the Monty Hall problem step by step.',
    reasoning: 'high',
  });

  console.log(result.text);
}

main().catch(console.error);

Tool calling

Expose tools the model can call. Define each tool’s inputs with a Zod schema.

tool-calling.ts

import { generateText, tool } from 'ai';
import { z } from 'zod';
import 'dotenv/config';

async function main() {
  const result = await generateText({
    model: 'zai/glm-5.2',
    prompt: 'What is the weather in San Francisco?',
    tools: {
      getWeather: tool({
        description: 'Get the current weather for a location',
        inputSchema: z.object({ location: z.string() }),
        execute: async ({ location }) => ({ location, temperatureC: 18 }),
      }),
    },
  });

  console.log(result.text);
}

main().catch(console.error);

Copy link to headingMore models by Z.AI

Model

Context	Latency	Throughput	Input	Output	Cache	Web Search	Capabilities	Providers	ZDR	No Training	Free Tier	Release Date

zai/glm-5.3-flash

0.4 s

151 tps

$0.05/M

$0.20/M

Read$0.01/M

—

+15

08/26/2026

zai/glm-5.3

0.1 s

341 tps

$0.70/M+1 more

$2.20/M+1 more

Read$0.12/M

—

+15

08/18/2026

zai/glm-5.2-fast

0.5 s

252 tps

$2.10/M

$6.60/M

Read$0.21/M

—

06/23/2026

zai/glm-5.1

205K

1.2 s

62 tps

$1.40/M

$4.40/M

Read$0.26/M

—

04/07/2026

zai/glm-5

203K

1.1 s

224 tps

$1/M

$3.20/M

Read$0.20/M

—

02/12/2026

zai/glm-4.7-flashx

200K

1.7 s

173 tps

$0.06/M

$0.40/M

Read$0.01/M

—

01/19/2026

Copy link to headingAbout GLM 5.2

GLM 5.2 was released June 16, 2026 as Z.AI's flagship model for long-horizon tasks, with weights published under the MIT License. GLM 5.2 succeeds GLM-5.1 and extends the context window to 1.0M tokens, up from 200K on GLM-5.1, so a single task can hold an entire project's code, history, and instructions.

The architecture is Mixture-of-Experts, activating roughly 40B parameters per token. An IndexShare sparse-attention design reuses the same indexer across every four sparse attention layers, cutting per-token compute by roughly 2.9 times at full context length. You control depth per request: toggle thinking on or off, and set a reasoning effort level up to max to trade latency and token budget for stronger results on hard problems.

The focus is agentic software engineering: codebase takeover, long-horizon refactoring, end-to-end feature work, and research reproduction. GLM 5.2 scores 81.0 on Terminal-Bench 2.1 and 62.1 on SWE-bench Pro in Z.AI's published evaluations, ahead of GLM-5.1 on both. Treat the numbers as vendor-reported until independent results accumulate.

Through AI Gateway, you call GLM 5.2 with a single API key using the AI SDK, the Chat Completions API, the Responses API, the Messages API, or other API formats. Built-in observability, provider routing, and failover come standard, and GLM 5.2 supports tool calling, structured output, streaming, and implicit caching.

Copy link to headingWhat To Consider When Choosing a Provider

Configuration: Reasoning effort is the main dial. Higher effort improves results on hard, multi-step problems but consumes more tokens and time. Start at a moderate setting, then raise it only for tasks that need deep deliberation.
Configuration: A 1.0M tokens window invites large prompts, and large prompts cost tokens on every request. Structure long-running agents to reuse stable context so implicit caching keeps repeat reads cheap, and watch spend in AI Gateway's observability tools.
Configuration: Published benchmark numbers come from Z.AI's own evaluations. Run GLM 5.2 on your own tasks before standardizing on it, and keep code review in the loop for anything headed to production. If per-step latency dominates your workload, glm-5.2-fast serves the same weights on faster infrastructure.
Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

Copy link to headingWhen to Use GLM 5.2

Best for

Long-Horizon Coding Agents: Multi-step engineering tasks that require planning, editing, testing, and iterating without losing the thread
Project-Scale Refactors: Whole-repository context held in a single window instead of chunked retrieval
Codebase Takeover: Onboarding onto an unfamiliar project by loading its code and history at once
Adjustable Reasoning Depth: One model covering both quick edits and deep deliberation via effort settings
Agentic Tool Use: Reliable function calling and structured output across long tool-call chains

Consider alternatives when

Latency-Sensitive Loops: glm-5.2-fast serves the same weights on faster infrastructure for interactive agents
High-Volume Lightweight Tasks: GLM-5-Turbo handles extraction and classification at lower per-token cost
Vision or GUI Input: GLM-5V-Turbo adds screenshot and image understanding to the GLM-5 generation
Simple Short Prompts: GLM-4.7-Flash keeps costs down when project-scale context is unnecessary

Copy link to headingConclusion

GLM 5.2 makes long-horizon, project-scale engineering practical with open weights, a 1.0M tokens context window, and tunable reasoning effort. Route GLM 5.2 through AI Gateway to get unified access, observability, and provider failover, and pair it with glm-5.2-fast when response speed outweighs per-token cost.

Copy link to headingFrequently Asked Questions

What's new in GLM 5.2 compared to GLM-5.1?
GLM 5.2 extends the context window to 1.0M tokens, up from 200K on GLM-5.1, and posts higher scores on coding benchmarks like Terminal-Bench 2.1 and SWE-bench Pro. GLM 5.2 also carries project-level engineering context across a single task and runs long-running tasks more reliably.
What is the context window for GLM 5.2?
1.0M tokens.
Is GLM 5.2 open source?
The weights are published under the MIT License. Through AI Gateway you call hosted providers with the zai/glm-5.2 identifier, so you get the model without managing weights or GPUs yourself.
Does GLM 5.2 support reasoning controls?
Yes. You can enable or disable thinking per request and set a reasoning effort level up to max. Lower effort answers faster; higher effort spends more tokens on hard problems.
How does GLM 5.2 differ from GLM 5.2 Fast?
glm-5.2-fast serves the same underlying weights on inference infrastructure tuned for higher throughput, at different per-token rates. Compare live throughput, latency, and pricing on each model's page and pick per workload.
What is the pricing for GLM 5.2?
Check the pricing panel on this page for today's numbers. AI Gateway tracks rates across every provider that serves GLM 5.2.
Does GLM 5.2 support Zero Data Retention?
Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.
How do I access GLM 5.2 through AI Gateway?
Use the zai/glm-5.2 model identifier with your AI Gateway API key via the AI SDK, the Chat Completions API, the Responses API, the Messages API, or other API formats. No separate Z.AI account is needed. BYOK is also supported.

Agent Stack

Core Platform

Tools

Learn

Build

Explore

GLM 5.2

Copy link to headingPlayground

Copy link to headingProviders

Copy link to headingUptime24 hours

Copy link to headingThroughput24 hours

Copy link to headingLatency24 hours

Getting started

Top-level parameters

Input limits

Provider options

Routing across providers

Reasoning

Tool calling

Copy link to headingMore models by Z.AI

Copy link to headingAbout GLM 5.2

Copy link to headingWhat To Consider When Choosing a Provider

Copy link to headingWhen to Use GLM 5.2

Best for

Consider alternatives when

Copy link to headingConclusion

Copy link to headingFrequently Asked Questions