GLM 5.3 API — pricing & specs
GLM 5.3 is a text reasoning model from Zhipu AI with a one-million-token context and low, high and max effort levels. On KeepRouter, GLM 5.3 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens, billed pay-as-you-go with no monthly fee. Call it through a compatible KeepRouter endpoint supported by its active route, with the model id glm-5.3.
| Maker | Zhipu AI |
|---|---|
| Modality | Text |
| Input price | $1.40 per 1M tokens |
| Output price | $4.40 per 1M tokens |
| Cached input | $0.2600 per 1M tokens |
| Capabilities | Chat completions, Streaming where supported, Tool calling where supported |
| Endpoint | POST /v1/chat/completions |
| Model id | glm-5.3 |
How pricing works for GLM 5.3
GLM 5.3 is billed per token — $1.40 per 1M input tokens and $4.40 per 1M output tokens, with cached input at $0.2600 per 1M tokens. The published price is pay-as-you-go, with no monthly fee; actual request cost depends on measured token usage.
Calling GLM 5.3 on KeepRouter
Point a compatible client at the supported KeepRouter endpoint and set the model to glm-5.3. KeepRouter preserves the client-facing request shape while handling upstream routing or translation. Use POST /v1/chat/completions or, on compatible chat routes, POST /v1/messages; streaming and tool support depend on the model's active route.
cURL
curl https://keeprouter.com/v1/chat/completions \
-H "Authorization: Bearer $KEEPROUTER_KEY" -H "Content-Type: application/json" \
-d '{"model":"glm-5.3","messages":[{"role":"user","content":"Hello"}]}'Python
import os
from openai import OpenAI
client = OpenAI(base_url="https://keeprouter.com/v1", api_key=os.environ["KEEPROUTER_KEY"])
r = client.chat.completions.create(model="glm-5.3", messages=[{"role":"user","content":"Hello"}])JavaScript
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://keeprouter.com/v1", apiKey: process.env.KEEPROUTER_KEY });
const r = await client.chat.completions.create({ model: "glm-5.3", messages: [{ role: "user", content: "Hello" }] });Estimate API costs
At the current KeepRouter customer price, an example workload of 1,000 total input tokens, no cached input, and 500 output tokens per request costs approximately $0.003600 per request. At 100 requests per day, that is $10.80 over 30 days. This is a usage estimate, excluding processing fees, taxes, retries and application infrastructure. Actual usage, cache hits and supported generation durations need their own checks.
Adjust quantities in the API cost calculator.
Model identity and official sources
Sources checked 2026-10-03.
Bounded generation checked
On October 3, 2026, this exact ID returned HTTP 200, visible text and final token usage through /v1/chat/completions. These small checks do not establish task accuracy, full-context capacity, media compatibility or sustained throughput.
Model and evaluation task
GLM 5.3 accepts text. Flash and FlashX also support image, video and file understanding; they are distinct pricing IDs rather than interchangeable aliases.
Zhipu AI · model documentation
API contract and migration
Reasoning remains enabled. Give the answer enough output budget. The maker states FlashX is not available on its Coding Plan; KeepRouter availability and pay-as-you-go prices do not imply entitlement on another subscription.
Zhipu AI · model documentation
Customer price and verification scope
Use this page's live KeepRouter USD input, output and, when shown, cached-input prices. Cached tokens are part of prompt usage and must not be counted twice. Compare spend including reasoning and retries. Reviewed documentation and catalog presence do not certify full-context capacity, media handling or throughput.
KeepRouter · pricing and usage · KeepRouter · workload calculator
How to evaluate GLM 5.3
GLM 5.3 is listed on KeepRouter as text under the exact id glm-5.3. Use /v1/chat/completions for the listed route; a maker's upstream features do not automatically apply to this gateway endpoint. Maker documentation labels the context as 1M and output as 128K. These labels are reference specifications; an exact serving token count or full-context capacity is not asserted.
First workload: Start with one representative text task, such as summarizing a document or drafting a structured answer. Compare answer quality, latency and billed input/output tokens.
Before production: For agent use, test tool calls and structured output on this exact model route before production; an OpenAI-compatible chat endpoint alone does not prove either feature.
Agent setup paths
OpenCode
OpenCode documents a custom OpenAI-compatible provider. Set baseURL to https://keeprouter.com/v1 and list glm-5.3 as a model; validate tool behavior on the exact route. Official setup.
{
"$schema": "https://opencode.ai/config.json",
"provider": {
"keeprouter": {
"npm": "@ai-sdk/openai-compatible",
"name": "KeepRouter",
"options": {
"baseURL": "https://keeprouter.com/v1",
"apiKey": "{env:KEEPROUTER_API_KEY}"
},
"models": {
"glm-5.3": {
"name": "GLM 5.3"
}
}
}
}
}Continue
Continue documents provider: openai with a custom apiBase. Set apiBase to https://keeprouter.com/v1 and model to glm-5.3; validate the selected feature and endpoint. Official setup.
name: KeepRouter
version: 0.0.1
schema: v1
models:
- name: GLM 5.3
provider: openai
model: glm-5.3
apiBase: https://keeprouter.com/v1
apiKey: <YOUR_KEEPROUTER_API_KEY>These are documented configuration paths; model-specific tool, streaming and multimodal behavior still needs a real request test.
Public model usage evidence
No public, exact-variant usage figure has been verified for this KeepRouter model id. Missing data is not zero usage; family-level or maker-wide traffic is not presented as this model's traffic.
Published examples and cases
No exact-model customer case has been verified for this entry. The workload above is an evaluation recipe, not a claim of a public deployment.
Source and verification boundary
Official GLM 5.3 documentation. KeepRouter's live catalog is authoritative for the customer price and enabled endpoint shown here; the maker remains authoritative for upstream model capabilities and limits.
Pricing and implementation guides
- GLM 5.3, Flash and FlashX: compare inputs and costs
- Calculate your API workload cost
- KeepRouter API keys: move from free to paid models
Guides
Related models
- GLM 5.3 Flash by Zhipu AI — $0.1500 per 1M input tokens and $0.5000 per 1M output tokens
- GLM-5.2 by Zhipu AI — $1.40 per 1M input tokens and $4.40 per 1M output tokens
- GLM 5.3 FlashX by Zhipu AI — $0.3700 per 1M input tokens and $1.25 per 1M output tokens
- GLM-5.1 by Zhipu AI — $1.40 per 1M input tokens and $4.40 per 1M output tokens
- GLM-5V Turbo by Zhipu AI — $1.20 per 1M input tokens and $4.00 per 1M output tokens
- GLM-5 Turbo by Zhipu AI — $1.20 per 1M input tokens and $4.00 per 1M output tokens
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Catalog facts and prices last changed .
Page content reviewed .