GLM-5.3-FlashX API Cost in NT$ 2026: Mid-Tier 1M Context

Query date: 2026-09-19 (Taipei time) Data source: BazaarLink public model catalog and customer price data. Exchange rate: 1 USD = NT$31.98; this uses the live rate shown on BazaarLink's top-up page on the date above, and all NT$ figures in this article are converted at this rate.

glm-5.3-flashx is now live in the BazaarLink public model catalog. It is the mid-priced option in the GLM-5.3 family, suitable for evaluating alongside the lower-priced glm-5.3-flash and the higher-priced glm-5.3.

Bottom line: at 1 USD = NT$31.98, glm-5.3-flashx is about NT$11.83 per 1M input tokens, about NT$39.98 per 1M output tokens and about NT$2.40 per 1M cache-read tokens; its context length is 1,000,000 tokens. Its price falls between the other two listed models in the GLM-5.3 family, but this article draws no conclusions about quality, speed or benchmark rankings.

Want to try it directly? Go to BazaarLink /free: billing in NT$, invoices with a unified business number, using an OpenAI-compatible API; a 10% top-up service fee is added to top-up amounts. For company expense-claim details, see the complete guide to AI API expense claims for Taiwan companies.

Price comparison (USD ↔ NT$)

All prices below are per 1M tokens. NT$ columns are calculated as USD × 31.98, rounded to two decimal places.

glm-5.3-flashx has no separately listed cache-write price. This table and the scenario estimate below use only the listed input, output and cache-read prices; no cache-write rate is assumed.

Scenario estimate: 100,000 document summaries per month (NT$/month)

The following is a fixed, checkable workload:

• 100,000 requests per month
• Each request has 4,000 input tokens and 1,000 output tokens
• Input cache hit rate of 50%
• Each request is therefore counted as 2,000 regular input tokens + 2,000 cache-read tokens
• Cache writes are not counted

After conversion, the monthly usage is:

Regular input = 100,000 × 4,000 × 50% = 200,000,000 tokens = 200M
Cache read    = 100,000 × 4,000 × 50% = 200,000,000 tokens = 200M
Output        = 100,000 × 1,000      = 100,000,000 tokens = 100M

Multiply usage by each model's USD unit price, then by 31.98:

For example, the glm-5.3-flashx calculation is: input $74.00 + output $125.00 + cache read $15.00 = $214.00; $214.00 × 31.98 = NT$6,843.72. This is a price estimate, not a guarantee about actual usage or model performance; your real bill still depends on your token distribution and cache hit rate.

Specifications

If your configuration file uses z-ai/glm-5.3-flashx, change it to the public model ID glm-5.3-flashx when sending requests to BazaarLink.

How to call it

BazaarLink uses an OpenAI-compatible API; just put the bare ID in the model field of the request:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["BAZAARLINK_API_KEY"],
    base_url="https://api.bazaarlink.ai/v1",
)

response = client.chat.completions.create(
    model="glm-5.3-flashx",
    messages=[
        {"role": "user", "content": "Summarize this document in three points."},
    ],
)

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

Before switching over for real, we recommend a small test using your own prompts, output lengths and cache usage patterns, and confirming that your SDK's streaming handling and token usage logging behave as expected.

Which one to choose

• Choose glm-5.3-flash: your top priority is the lower input/output prices, and you want to keep the 1,310,720-token context.
• Choose glm-5.3-flashx: you want the mid-price band of the GLM-5.3 family, a 1,000,000-token context is enough, and you want to use a fixed, explicit model ID.
• Choose glm-5.3: you want to evaluate the highest-priced option in the family, and you are willing to verify with your own workload whether it justifies the extra cost.

"Mid" here refers to the position of BazaarLink's customer price and the specifications listed here, not a quality or speed ranking. If the model choice will affect a production product, make the final decision based on your own test results and budget limit.

Sources and query log

• BazaarLink public model catalog and customer prices: query date 2026-09-19 (Taipei time); the public ID for glm-5.3-flashx is the bare glm-5.3-flashx, and z-ai/glm-5.3-flashx is listed only under aliases.
• Exchange rate source: the live rate shown on BazaarLink's top-up page on 2026-09-19; this article uses 1 USD = NT$31.98.
• Artificial Analysis: as of the query date above, there is no model entry for glm-5.3-flashx. Therefore this article does not include an Artificial Analysis Intelligence Index, and it does not apply scores from other GLM entries to this model.
• The monthly cost estimate in this article uses only the input, output and cache-read prices in the table above, and explicitly lists the assumptions for requests per month, input tokens, output tokens and cache hit rate.

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