identity

open weights
Z.AI logo

glm-5.2-fastZ.AI

from /1M in$2.10fireworks ai
context1M131K out
providers11 region
endpoints11 region
endpoints
1
regions
1
api
chat
released
July 2026

capabilities 3/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

endpoints

1 / 1 region
Providers serving glm-5.2-fast, with pricing and measured performance. Best value in each column is coloured.
#flags
1Fireworks AIGlobal1M$2.10$6.60$0.21zdr
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

no published benchmark scores for this model

call it

model=
glm-5.2-fast

requesty routes this id across every provider serving glm-5.2-fast, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it

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

quickstart

openai compatible
main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="glm-5.2-fast",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(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-5.2 introduces a robust 1M-token context and advanced, multi-effort coding capabilities to significantly enhance performance on long-horizon tasks. Its new IndexShare architecture and improved MTP layer simultaneously boost efficiency by reducing per-token FLOPs and increasing speculative decoding lengths. A 743B-parameter model in Zhipu AI's GLM series, designed to plan, execute, and iterate autonomously on extended, engineering-grade tasks.

questions 6

Which providers serve glm-5.2-fast?
glm-5.2-fast is available from 1 provider through Requesty: Fireworks AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does glm-5.2-fast cost?
Pricing starts at $2.10 per million input tokens and $6.60 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-5.2-fast open weights?
Yes. glm-5.2-fast 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-5.2-fast?
glm-5.2-fast supports up to 1M tokens of context, with up to 131K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use glm-5.2-fast 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 "glm-5.2-fast" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call glm-5.2-fast by its managed id or a provider id?
Use the managed id, "glm-5.2-fast". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "fireworks/glm-5.2-fast" only when you need one specific deployment and want no failover.

more from z.ai 6

Other Z.AI models
modelcontextfrom /Mproviders
glm-5.3-flash1.0M$0.077
glm-5.31.0M$1.206
glm-5.21.0M$0.8011
glm-5.1205K$0.845
glm-5203K$1.002
glm-4.7200K$0.601

route glm-5.2-fast 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

glm-5.2-fast1 provider1 endpointsfrom $2.10 /1M inctx 1Mupdated Sep 12