glm-5.3-flash

Name: glm-5.3-flash
Brand: Runware Inc.
SKU: runware/glm-5.3-flash
Price: 0.0750 USD
Availability: InStock

Runware Inc./🇬🇧 UK/chat

GLM 5.3 Flash is Z.ai's lower-cost model from the GLM 5.3 family for coding and long-horizon agent workflows, with reasoning and efficient long-context serving. Image input is not supported on this deployment. Served via Runware.More

Compare 5 providers All models →

Which id to call

runware/glm-5.3-flash

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

Input /1M

$0.07

Runware Inc.

Output /1M

$0.25

3.3x input

Context

131K

131K output

Paid /1M

$0.08

measured, cache included

Capabilities 0/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What glm-5.3-flash costs

Provider prices per 1M tokens, updated August 30, 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.

Input /1M

$0.07

Output /1M

$0.25

Cache write /1M

Cache read /1M

What a workload costs

100K input + 10K output: $0.0100
1M input + 100K output: $0.1000
10M input + 1M output: $1.00

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

model=

Which id to call

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

runware/glm-5.3-flash

This exact deployment on Runware Inc., 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="runware/glm-5.3-flash",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Live from production

Runware Inc. on glm-5.3-flash, measured

What this provider was measured doing on glm-5.3-flash across Requesty traffic.more

Whole-window figures, because that is the grain published per provider. They cover Runware Inc. serving this model in every region it serves it from, so a region-pinned deployment shares them with its siblings. A figure is absent where no qualifying sample exists.

First token

1.18s

median

p95 wait

1.71s

slowest 5%

Output speed

207/s

median tokens

Paid /1M

$0.08

blended, cache included

Compare these against the other 4 providers serving glm-5.3-flash.

Reference

Specs and data terms

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

Context window131K tokens

Max output131K tokens

API typechat

AddedAug 2026

Model id

Data retentionNone

Used for trainingNo

Served from🇬🇧 UK

Privacy policyRunware Privacy Policy→

Released 2026-08-26

Benchmark scores

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

Coding Indexcoding

71.5%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning

91.2%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning

57.5%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from Runware Inc.

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

deepseek-v4-flash-0731

1.0M ctx/$0.08/1M

glm-5.2

1.0M ctx/$0.80/1M

qwen3.5-4b

262K ctx/$0.05/1M

qwen3.5-9b

262K ctx/$0.09/1M

gpt-oss-120b

131K ctx/$0.03/1M

Reference

glm-5.3-flash questions

How much does glm-5.3-flash cost?

glm-5.3-flash is priced at $0.07 per million input tokens and $0.25 per million output tokens when accessed via Requesty. 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 131K tokens, with a maximum output of 131K tokens per response. That's roughly 175 words of input you can fit in a single prompt.

How does glm-5.3-flash perform on benchmarks?

glm-5.3-flash scores 91.2% on GPQA Diamond, 71.5% on Coding Index, 57.5% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can glm-5.3-flash do?

glm-5.3-flash is a text-generation model you can call 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 "runware/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 Runware Inc.. You do not host the model yourself: point base_url at Requesty, set the model to "runware/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 Runware Inc. models