glm-5.3-flash
Z.AI/Open weights/10 providers
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.MoreLess
Which id to call
glm-5.3-flashRequesty 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.
From /1M input
$0.12
Melious
Context
1.0M
1.0M output
Best first token
549ms
Melious
Price spread
1.7x
10 endpoints
Capabilities 5/8
-↑ 423/s
Week of Oct 5, latest, median of 10 providerslog axis
Median tokens per second once generation starts, measured on traffic routed through Requesty through Oct 11. Hover a week to read it.moreless
The axis is logarithmic, because the lines here are more than 12x apart and a linear axis would press most of them flat. Each gridline is a step in ratio rather than a fixed amount. The bold line starts in the week of Aug 24, the first week this model was called through Requesty, and the weeks shaded before it hold no sample for it. Each provider line is that provider's own median across every model it serves, which is the grain published per provider, so a provider line can cover weeks this model was not called in yet. The exact per-provider figures for this model are ranked below.
10 endpoints / 2 regions
Providers serving glm-5.3-flash
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.moreless
The two panes rank glm-5.3-flash as measured on Requesty traffic: by the provider that served it, and by the region the request came from, where the share is how much of that region's traffic this model carries. Whole-window figures, because that is the grain Requesty publishes per provider and per region.
By provider
Median tokens per second once generation starts. Bar length is the value, so the longest bar wins.moreless
Whole-window figures as published, not an average of weekly points.
By traffic region
Median wait before the first token arrives. Bar length is the value, so the shortest bar wins.moreless
Whole-window figures as published, not an average of weekly points. Measured over streaming responses only, because a non streaming request has no first token event. A reasoning model thinks before it emits anything, so compare its wait against its reasoning share rather than against a non reasoning model.
| Rank | Cost 10wk | Privacy | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Melious | EU | 1M | $0.12 | $0.46 | $0.02 | 549ms | 112.0 | - | - | zdr |
| 2 |  DeepInfra Inc. | Global | 1.0M | $0.15 | $0.50 | $0.03 | 2.03s | 35.0 | 99.5% | zdr | |
| 3 |  Fireworks AI | Global | 1.0M | $0.15 | $0.50 | $0.03 | 1.40s | 79.0 | - | zdr | |
| 4 |  Novita AI | Global | 1.0M | $0.15 | $0.50 | $0.03 | 5.81s | 86.0 | 99.9% | zdr | |
| 5 |  Runware Inc. | Global | 1.0M | $0.15 | $0.50 | $0.03 | 1.98s | 165.0 | 99.9% | zdr | |
| 6 |  Tencent | Global | 1.0M | $0.15 | $0.50 | $0.03 | - | - | 86.1% | no-train | |
| 7 | Z.ai | Global | 1M | $0.15 | $0.50 | $0.03 | 5.97s | - | 99.9% | zdr | |
| 8 |  Lyceum Technology | EU | 1.0M | $0.20 | $0.50 | $0.05 | 1.67s | 191.0 | 99.1% | zdr | |
| 9 |  sference | EU | 1M | $0.20 | $0.60 | $0.07 | 597ms | - | 99.9% | zdr | |
| 10 |  TensorX Ltd. | EU | 1.0M | $0.20 | $0.50 | $0.05 | 1.52s | 120.0 | 99.2% | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
glm-5.3-flashRequesty 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.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from 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)
Artificial Analysis
Benchmark scores
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
6
More from Z.AI
Reference
glm-5.3-flash questions
Which providers serve glm-5.3-flash?
glm-5.3-flash is available from 10 providers through Requesty: Melious, DeepInfra Inc., Fireworks AI, Novita AI, Runware Inc., 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 Melious, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
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 (549ms) 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 10 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.
Route glm-5.3-flash through one endpoint
One key for 10 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.