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GLM 4.7 Flash

GLM 4.7 Flash is the speed-optimized variant in Z.AI's GLM-4.7 generation, released January 19, 2026. It delivers faster inference for high-throughput workloads while retaining the coding, tool usage, and conversational improvements introduced in GLM-4.7.

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Input and output price
Prices from: Input $0.07, Output $0.40, Per 1M tokens
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import { streamText } from 'ai'
const result = streamText({
model: 'zai/glm-4.7-flash',
prompt: 'Why is the sky blue?'
})
Read docs

Copy link to headingPlayground

Try out GLM 4.7 Flash 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.

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GLM 4.7 Flash

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
Free Tier
Release Date
200K131K156 tps
$0.07/M
$0.40/M
Read$0.01/M
01/19/2026
200K131K0.2 s88 tps
$0.07/M
$0.40/M
01/19/2026

Copy link to headingUptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

Copy link to headingThroughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Copy link to headingLatency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Getting started

Call GLM 4.7 Flash 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-4.7-flash',
prompt: 'Why is the sky blue?',
});
console.log(result.text);
}
main().catch(console.error);

Top-level parameters

The same GLM 4.7 Flash 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-4.7-flash',
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.

ParameterTypeRequiredDescription
modelstringYesModel ID in the form creator/model, e.g. zai/glm-4.7-flash. AI Gateway routes the request to an available provider.
maxOutputTokensnumberNoHard cap on generated tokens. GLM 4.7 Flash supports up to 131,000 output tokens. Reasoning tokens count toward this limit.
reasoning'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh'NoProvider-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.
providerOptionsRecord<string, JSONValue>NoAI Gateway routing options under gateway, plus any provider-native options under the provider’s own namespace — see the table below.

Input limits

InputFormatsSourcesMax countMax sizeLimits
TextPrompt and response share the 200K-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-4.7-flash',
prompt: 'Why is the sky blue?',
providerOptions: {
gateway: {
only: ['zai', 'bedrock'],
},
},
});
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.

ParameterTypeRequiredDescription
providerOptions.gateway.onlystring[]NoRestrict routing to these provider slugs. Requests fail over only within the listed providers.
providerOptions.gateway.orderstring[]NoPreferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks.
providerOptions.gateway.sort'cost' | 'ttft' | 'tps'NoRank candidate providers by price, time to first token, or tokens per second instead of the default routing order.
providerOptions.gateway.zeroDataRetentionbooleanNoRoute 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-4.7-flash',
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-4.7-flash',
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

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Cache
Web Search
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Copy link to headingAbout GLM 4.7 Flash

GLM 4.7 Flash was released January 19, 2026 as the middle tier in Z.AI's GLM-4.7 generation, sitting between the full GLM-4.7 and the ultra-fast GLM-4.7-FlashX. It inherits the 4.7 generation's gains in coding assistance, tool usage, multi-step reasoning, and natural conversational tone while trading peak capability for faster inference.

The GLM-4.7 generation focused on closing coding and tool-use gaps with competing models. GLM 4.7 Flash carries those gains forward at a cost-and-latency profile that fits high-volume coding assistance, real-time chat, and production pipelines with strict response time budgets. If the full GLM-4.7 is too slow and GLM-4.7-FlashX strips too much capability, GLM 4.7 Flash is the compromise.

Through AI Gateway, switching between GLM-4.7 tiers requires only changing the model identifier. The API surface and request format stay the same.

Copy link to headingWhat To Consider When Choosing a Provider

  • Configuration: GLM 4.7 Flash sits in the middle of the 4.7 generation. Test it against both GLM-4.7 (higher capability) and GLM-4.7-FlashX (higher speed) on your specific tasks to find the right tradeoff.
  • Configuration: All GLM-4.7 variants share the same API. You can A/B test across tiers without changing your integration.
  • Configuration: The reduced per-token cost makes GLM 4.7 Flash practical for high-volume deployments where GLM-4.7's per-request cost would be prohibitive.
  • 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 4.7 Flash

Best for

  • High-volume coding assistance: Fast response times improve developer productivity across many concurrent sessions
  • Real-time conversational applications: The 4.7 generation's natural tone under strict latency thresholds
  • Production API backends: High request volumes where cost per token directly impacts margins
  • Agentic pipelines: Most steps need good capability at speed, with the option to route complex steps to the full GLM-4.7
  • Interactive prototyping and development: Fast iteration cycles depend on quick model responses

Consider alternatives when

  • Maximum complex-task capability: The full GLM-4.7 provides the deepest reasoning and coding quality
  • Absolute fastest inference: GLM-4.7-FlashX offers the lowest latency in the 4.7 generation
  • Vision capabilities needed: Evaluate GLM-4.6V or GLM-4.5V for multimodal input
  • Advanced reasoning modes: GLM-5 provides multiple thinking modes and an expanded reasoning architecture

GLM 4.7 Flash sits between the full GLM-4.7 and GLM-4.7-FlashX: fast enough for many production latency budgets, and more capable than FlashX on heavier coding and tool-use tasks. Switch between 4.7 tiers through AI Gateway by changing the model identifier.

Copy link to headingFrequently Asked Questions

  • How does GLM 4.7 Flash compare to the full GLM-4.7?

    GLM 4.7 Flash shares the same foundational improvements (coding, tool usage, multi-step reasoning, natural tone) but is optimized for faster inference at lower cost. Peak capability on complex tasks will be lower than GLM-4.7.

  • What is the difference between GLM 4.7 Flash and GLM-4.7-FlashX?

    GLM 4.7 Flash provides more capability with moderate speed optimization. GLM-4.7-FlashX is the fastest tier in the generation, trading more capability for the lowest possible latency.

  • Can I switch between GLM-4.7 variants easily?

    Yes. All variants share the same API surface. Change the model identifier to switch between GLM-4.7, GLM-4.7-Flash, and GLM-4.7-FlashX.

  • What is the context window for GLM 4.7 Flash?

    200K tokens.

  • How do I authenticate with GLM 4.7 Flash through AI Gateway?

    AI Gateway provides a unified API key. No separate Z.AI account is needed. Use the model identifier to route requests. BYOK is supported for direct provider accounts.

  • Is GLM 4.7 Flash suitable for frontend development?

    Yes. It inherits the frontend development improvements from GLM-4.7, though the full GLM-4.7 may produce slightly better results on complex UI generation tasks.

  • What is the pricing for GLM 4.7 Flash?

    See the pricing section on this page for today's rates. AI Gateway exposes each provider's pricing for GLM 4.7 Flash.

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