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glm-5.3

GLM-5.3 is the latest flagship model for complex software engineering and long-horizon Agent tasks. It delivers a 50% improvement in coding experience over its predecessor, matches Mythos 5 on selected cybersecurity capabilities, and achieves a better balance between performance and token efficiency.

VisionReasoningTool callingCachingJSON schema
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Specifications

Context window1M tokens
Max output128K tokens
API typechat
AddedAug 18, 2026
Model ID
Data retentionNo
Used for trainingNo
Provider location🇸🇬 Singapore
Privacy policyZ AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Z.ai models overview.

Pricing

Prices updated August 18, 2026
Input / 1M
$1.40
Output / 1M
$4.40
Cache write
N/A
Cache read / 1M
$0.26
Estimated cost
100K input + 10K output$0.18
1M input + 100K output$1.84
10M input + 1M output$18.40

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to zai/glm-5.3.

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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="zai/glm-5.3",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Z.ai models

glm-5.2
1M ctx$1.40/1M
Coding 69
glm-5.1
200K ctx$1.40/1M
Coding 56
GLM-5
200K ctx$1.00/1M
GLM-4.7
200K ctx$0.60/1M
Coding 45
GLM-4.6
200K ctx$0.60/1M
Coding 46
GLM-4.5
131K ctx$0.60/1M

Frequently asked questions

How much does glm-5.3 cost?
glm-5.3 is priced at $1.40 per million input tokens and $4.40 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of glm-5.3?
glm-5.3 has a context window of 1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
What can glm-5.3 do?
glm-5.3 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 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 "zai/glm-5.3". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run glm-5.3 through Requesty?
Yes. glm-5.3 runs through Requesty's OpenAI-compatible API, served from Z.ai. You do not host the model yourself: point base_url at Requesty, set the model to "zai/glm-5.3", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access glm-5.3 through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All Z.ai models