AIREITER
ZhipuText Chat

GLM-5.3

Try GLM-5.3 online for coding, structured reasoning, bilingual research, streaming responses, cache usage, and Messages API access.

InputOfficial $1.40 per 1M tokensAIReiter $0.42 per 1M tokensOutputOfficial $4.40 per 1M tokensAIReiter $1.32 per 1M tokensCache readOfficial $0.26 per 1M tokensAIReiter $0.078 per 1M tokens
Run with API

INPUT

OUTPUT

Example
Generated in
42.7 seconds
Input tokens
134
Output tokens
2354
Tokens per second
55.13 tokens / second
Time to first token
-

Model details

Use the same model key in Playground, API requests, and internal workflows.

Model ID
glm-5.3
Provider
Zhipu
Protocol
Anthropic Messages
Context window
1,000,000 tokens
Max output
128,000 tokens
Input tokens
42 credits / 1M tokens
Output tokens
132 credits / 1M tokens
Cache read
7.8 credits / 1M tokens
Cache write
-

What You Can Do with GLM-5.3

A long-context reasoning route for engineering and bilingual knowledge work.

Repository-scale coding

Keep architecture notes, code excerpts, and migration constraints together while planning implementation work.

Structured reasoning

Turn ambiguous questions into assumptions, tradeoffs, decision criteria, and a defensible recommendation.

Bilingual research

Analyze Chinese and English source material in one workflow without splitting the evidence by language.

Long-running agent review

Inspect plans, tool traces, failures, and retained state when an automated workflow needs a second opinion.

GLM-5.3 Use Cases

Use it where preserving context and reasoning quality can prevent rework.
01

Technical planning

Convert broad requirements into implementation stages, risks, dependencies, and verification criteria.

02

Code and security review

Review changes for correctness, unsafe assumptions, missing tests, and possible failure paths.

03

Research synthesis

Compare claims across long source packs and produce a concise conclusion with uncertainty preserved.

04

Decision support

Build comparison tables and recommendations for product, engineering, and operational choices.

Where GLM-5.3 Fits in a Model Stack

Route by workload instead of sending every prompt to the newest model.

Compared with GLM-5.2

Evaluate GLM-5.3 first for newer coding and agent workflows, but keep a regression set before moving existing traffic.

For fast batches

Use a lighter Flash or Turbo model for extraction, classification, and short repetitive requests.

For code-heavy escalation

Compare GLM-5.3 with DeepSeek V4 Pro on the same repository task rather than relying on generic rankings.

For long-context workloads

Compare result quality, latency, and cache reuse against MiniMax M3 or Kimi coding routes.

How to Use GLM-5.3

Move from a representative prompt to a production Messages integration.

01

Test a real workload

Use the playground with a task that includes the same context and output structure as production.

02

Inspect usage and caching

Review input, output, and cache-read tokens. Repeated text alone does not prove a cache hit.

03

Connect the Messages API

Call POST https://aireiter.com/api/v1/messages with model "glm-5.3" and enable streaming when needed.

GLM-5.3 API Questions

The details teams should confirm before routing production traffic.

/ 01

What is GLM-5.3 best for?

It is a strong candidate for long-context coding, structured reasoning, bilingual research, and agent workflow review.

/ 02

Which endpoint should GLM-5.3 use?

Use POST https://aireiter.com/api/v1/messages. The Chat Completions endpoint is not compatible with this AIReiter route.

/ 03

What context and output limits are shown?

The page lists a 1M-token context window and up to 128K output tokens. Client and provider request limits may still be lower.

/ 04

How do I confirm a cache hit?

Check usage.cache_read_input_tokens. In AIReiter testing, identical eligible prefixes returned a positive cache-read value on later requests.

/ 05

Is GLM-5.3 official public API pricing available?

At publication time, Z.AI documents the model but does not list a separate GLM-5.3 rate on its public API pricing page. AIReiter displays its current route price above.