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open weights
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glm-5.3-flashZ.AI

from /1M in$0.12melious
context1.0M1.0M out
best ttft568msmelious
price spread1.7x11 endpoints
endpoints
11
regions
2
best tok/s
128
api
chat
released
August 2026
eu routing
available

capabilities 5/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

The same weights cost 1.7x more on lyceum than on melious. That is what the endpoints table is for.

endpoints

11 / 2 regions
Providers serving glm-5.3-flash, with pricing and measured performance. Best value in each column is coloured.
#flags
1MeliousEU1M$0.12$0.46$0.02568ms104.0zdr
2DeepInfraGlobal1.0M$0.15$0.50$0.031.72s43.0zdr
3Fireworks AIGlobal1.0M$0.15$0.50$0.031.36s74.0-zdr
4Novita AIGlobal1.0M$0.15$0.50$0.035.98s33.0-zdr
5RunwareGlobal1.0M$0.15$0.50$0.031.97s128.0zdr
6TencentGlobal1.0M$0.15$0.50$0.034.15s98.0-no-train
7Together AIGlobal1.0M$0.15$0.50$0.03778ms77.0-zdr
8Z.aiGlobal1M$0.15$0.50$0.036.00s22.0zdr
9LyceumEU1.0M$0.20$0.50$0.051.50s100.0zdr
10sferenceEU1M$0.20$0.60$0.07635ms127.0-zdr
11TensorXEU1.0M$0.20$0.50$0.051.23s98.0zdr
provider price, no markupper 1M tokensblank where no qualifying sample

measured

through Nov 2
median
-524ms3.05s6.61s08-3109-2811-024.52s3.16s2.80s2.50s2.31s1.81s1.80s1.42s1.21s749ms652ms
hover the plot for weekly values
time to first token per provider: current value, window low and high, and change across the window
providernowlowhighchange
Melious568ms608ms689ms+7.2%
sference635ms71ms794ms+955%
Together AI778ms370ms2.80s+381%
TensorX1.23s1.00s1.48s+19%
Fireworks AI1.36s1.19s2.31s+71%
Lyceum1.50s627ms2.50s+300%
DeepInfra1.72s1.05s1.93s+36%
Runware1.97s1.60s2.10s-5.4%
Tencent4.15s1.71s5.87s-69%
Novita AI5.98s2.08s4.08s-4.6%
Z.ai6.00s4.12s6.02s-13%

median wait before the first token lands. this is the number a user feels, and it moves with provider load through the day.

Lines are steps: each sample is one week of traffic held flat, not a slide from the week before. Click a name in the key to drop it from the plot. Measured through Nov 2.

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
GPQA Diamond91.2
SciCode51.6
Humanity's Last Exam39.9
Intelligence Index27.8
4 evalsmean52.6

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 2026-08-26.

call it

model=
glm-5.3-flash

requesty routes this id across every provider serving glm-5.3-flash, 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-5.3-flash",    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-5.3-Flash is a native multimodal model from Z.ai, suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead. Accepts text, image and video input. Served from the EU by Melious.

questions 7

Which providers serve glm-5.3-flash?
glm-5.3-flash is available from 11 providers through Requesty: Melious, DeepInfra, Fireworks AI, Novita AI, Runware, Tencent. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does glm-5.3-flash cost?
Pricing starts at $0.12 per million input tokens and $0.46 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-5.3-flash open weights?
Yes. glm-5.3-flash 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-5.3-flash?
glm-5.3-flash supports up to 1.0M tokens of context, with up to 1.0M output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
Which provider is fastest for glm-5.3-flash?
In recent production traffic through Requesty, Melious had the lowest median time to first token (568ms) for glm-5.3-flash. Latency shifts over time, so Requesty's latency-based routing picks the fastest healthy provider per request automatically.
How do I use glm-5.3-flash 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-5.3-flash" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call glm-5.3-flash by its managed id or a provider id?
Use the managed id, "glm-5.3-flash". Requesty picks which of the 11 providers 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. There is also an EU-only id, "glm-5.3-flash@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "melious/glm-5.3-flash" 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-flashx1.0M$0.371
glm-5.31.0M$1.1411
glm-5.2-fast1M$2.101
glm-5.21.0M$0.8012
glm-5.1205K$0.845
glm-5203K$1.002

route glm-5.3-flash through one endpoint

One key for 11 providers 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-5.3-flash11 providers11 endpointsfrom $0.12 /1M inctx 1.0Mttft 568msspread 1.7xupdated Nov 2