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glm-5.3-flash

Novita AI/🇺🇸 US/chat10% off

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.More

Which id to call

novita/glm-5.3-flash

This exact deployment on Novita AI, with no routing and no failover. Send it as the model field.

Input /1M

$0.14

$0.15 list

$0.03 cached

Output /1M

$0.45

$0.50 list

3.3x input

Context

1.0M

131K output

Added

Aug 2026

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What glm-5.3-flash costs

Provider prices per 1M tokens, updated August 26, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

10% off

This endpoint is discounted. List is $0.15 per 1M input and $0.50 per 1M output, and the rates below are what you pay. The discount applies to every request on this endpoint, with nothing to claim or enter.

Input /1M

$0.14

$0.15 list

Output /1M

$0.45

$0.50 list

Cache write /1M

-

Cache read /1M

$0.03

What a workload costs

100K input + 10K output
$0.0180
1M input + 100K output
$0.18
10M input + 1M output
$1.80

At the rates above, before caching. A cache read costs $0.03 per 1M, so repeated context lands under these figures.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

novita/glm-5.3-flash

This exact deployment on Novita AI, with no routing and no failover. Send it as the model field.

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.

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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="novita/glm-5.3-flash", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window1.0M tokens
Max output131K tokens
API typechat
AddedAug 2026
Model id
Data retentionNone
Used for trainingNo
Served from🇺🇸 US

Public leaderboards

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

No benchmarks are published for this exact variant yet.

Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the Novita AI models overview.

Same provider

More from Novita AI

Newest first, on the same provider and the same key.

Reference

glm-5.3-flash questions

How much does glm-5.3-flash cost?

glm-5.3-flash is priced at $0.14 per million input tokens and $0.45 per million output tokens when accessed via Requesty. Those figures include a 10% discount on this endpoint, off a list rate of $0.15 per million input tokens and $0.50 per million output tokens. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of glm-5.3-flash?

glm-5.3-flash has a context window of 1.0M tokens, with a maximum output of 131K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.

What can glm-5.3-flash do?

glm-5.3-flash supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

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 "novita/glm-5.3-flash". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run glm-5.3-flash through Requesty?

Yes. glm-5.3-flash runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/glm-5.3-flash", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call glm-5.3-flash through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

All Novita AI models