Z.ai: GLM 4.7 Flash

Public pricingIntelligence 77/100Large memory深度思考工具调用

Z.ai: GLM 4.7 Flash 是一款文本模型，适合编码、软件工程和智能体工作流。它结合了强大的编码能力、可靠的工具调用与智能体表现、203K tokens上下文和低成本定位，可在编码、软件工程和智能体工作流中提供可靠表现。它适合重视延迟、成本与吞吐的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.06/1M

Output

$0.40/1M

Cached

$0.01/1M

Batch

$0.04/1M

Calculate your GLM 4.7 Flash bill.

Set your workload — see cost at your exact volume.

What would GLM 4.7 Flash cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GLM 4.7 Flash at a glance.

Memory

202,752

tokens

Max reply

131,072

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Dec 2025

Training cutoff

Aug 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2025

    91.6

  • gpqa_diamond

    75.2

  • swe_bench_verified

    59.2

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GLM 4.7 Flash

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

GLM 4.7 Flash — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GLM 4.7 Flash costs roughly $21 per month. Input is $0.06 /1M tokens and output is $0.40 /1M tokens.
GLM 4.7 Flash has a 202,752-token context window (large memory — an entire book or large codebase). That means you can fit about 38,016 words of input and history in a single call.
Beyond text generation, GLM 4.7 Flash supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GLM 4.7 Flash was released in December 2025, with training data cut off around August 2025.
Models in a similar class include GLM 4.7, GLM 4.6, GPT-5 Nano. The "Similar models" section below this FAQ links into each.

Still unsure?

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