identity

open weights

glm-4.7Z.AI

Name: glm-4.7
Brand: Z.AI
SKU: zai/glm-4.7
Price: 0.6000 USD
Availability: InStock

from /1M in$0.60z.ai

context200K128K out

providers11 region

endpoints11 region

endpoints: 1
regions: 1
api: chat
released: December 2025

capabilities 2/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

1 / 1 region

Providers serving glm-4.7, with pricing and measured performance. Best value in each column is coloured.
#							flags
1	Z.ai	Global	200K	$0.60	$2.20	$0.11	zdr

provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Sep 12

no measured traffic for this model yet. the endpoints table above carries provider pricing

benchmarks

artificial analysis

Benchmark scores, each normalised to 100
eval	Score as a share of 100	/100
τ²-Bench		95.9
Math Index		95.0
AIME 2025		95.0
LiveCodeBench		89.4
GPQA Diamond		85.9
MMLU Pro		85.6
Coding Index		45.3
Terminal-Bench Hard		31.8
Humanity's Last Exam		27.4
Intelligence Index		22.2
10 evals	mean	67.3

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2025-12-22.

call it

model=

zai/GLM-4.7

this model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way

Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.

quickstart

openai compatible

main.py

1from openai import OpenAI2 3client = OpenAI(4    api_key="YOUR_REQUESTY_API_KEY",5    base_url="https://router.requesty.ai/v1",6)7 8response = client.chat.completions.create(9    model="zai/GLM-4.7",10    messages=[11        {"role": "user", "content": "Explain quantum computing in one paragraph."},12    ],13)14 15print(response.choices[0].message.content)

Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models

notes

reference

GLM-4.7 is Z AI’s latest flagship model, designed to push agentic and coding performance further. It expands the context window from 128K to 200K tokens, improves reasoning and tool-use capabilities, and delivers stronger results in coding benchmarks and real-world development workflows. GLM-4.6 demonstrates refined writing quality, more capable agent behavior, and higher token efficiency (≈15% fewer tokens vs. GLM-4.5). Evaluations show clear gains over GLM-4.5 across reasoning, agents, and coding, reaching near parity with Claude Sonnet 4 in practical tasks while outperforming other open-source baselines. GLM-4.6 is available through the Z.ai API platform, OpenRouter, coding agents (Claude Code, Roo Code, Cline, Kilo Code), and soon as downloadable weights on HuggingFace and ModelScope.

questions 5

Which providers serve glm-4.7?

glm-4.7 is available from 1 provider through Requesty: Z.ai. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does glm-4.7 cost?

Pricing starts at $0.60 per million input tokens and $2.20 per million output tokens on the cheapest provider. Prices vary by provider and region; the table above shows every endpoint. Requesty charges exactly what the upstream provider charges, with no markup.

Is glm-4.7 open weights?

Yes. glm-4.7 is an open-weights model from Z.AI, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of glm-4.7?

glm-4.7 supports up to 200K tokens of context, with up to 128K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use glm-4.7 with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "zai/GLM-4.7" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

more from z.ai 6

Other Z.AI models
model	context	from /M	providers
glm-5.3-flash	1.0M	$0.07	7
glm-5.3	1.0M	$1.20	6
glm-5.2-fast	1M	$2.10	1
glm-5.2	1.0M	$0.80	11
glm-5.1	205K	$0.84	5
glm-5	203K	$1.00	2

route glm-4.7 through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology