Bridge by Wekoya / Models / Z.ai / GLM-5.3-Flash API, priced in naira

GLM-5.3-Flash API, priced in naira

In short: You can use GLM-5.3-Flash, a model by Z.ai, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦263 per million input tokens and ₦878 per million output tokens. Call it with the OpenAI SDK using the model ID glm-5.3-flash.

Updated

Price and limits

GLM-5.3-Flash
Input, per million tokens₦263
Output, per million tokens₦878
Cached input, per million tokens₦52.65
Writing to the cache, per million tokens₦263
Context window1,048,576 tokens
Longest reply16,384 tokens
Reads picturesYes
Tool callingYes
Reasoning (thinks before it answers)Yes
Model IDglm-5.3-flash

Prices as of 8 November 2026. They are in naira and follow the exchange rate, so the live price may differ a little. A token is roughly three quarters of a word.

What a request costs

A request that sends 1,500 tokens (instructions, the conversation so far and a question) and gets 500 back (about 375 words) costs about ₦0.834 on 8 November 2026. A thousand of them cost about ₦834. When 1,000 of the input tokens are instructions that stay the same, prompt caching reads them at the cached rate and the request costs about ₦0.623.

Use GLM-5.3-Flash from your code

Bridge speaks the OpenAI format, so the OpenAI SDK works as it is: set the base URL to https://wekoya-api.wekoya.tech/v1, use your Bridge key, and pass glm-5.3-flash as the model. Create a key, then:

from openai import OpenAI

client = OpenAI(api_key="wk_live_...", base_url="https://wekoya-api.wekoya.tech/v1")
reply = client.chat.completions.create(
    model="glm-5.3-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)

Streaming works the same way, and so does tool calling. To send a picture, add it to the message as an image. The quickstart has the same in JavaScript and curl, and the Responses API works too.

Other Z.ai models on Bridge

ModelInput / 1MOutput / 1MContext
GLM-4.7-Flash₦105₦702202,752
GLM-5.2₦986₦3,1591,048,576
GLM-4.7₦1,053₦3,861202,752
GLM-5.3₦988₦4,3881,048,576
GLM-5₦1,755₦5,616202,752

Every Z.ai model on Bridge, with what each can do.

Lower-priced models that can do the same things

These cost less per request than GLM-5.3-Flash and can also read pictures, call tools, reason and take at least 1,048,576 tokens of context. Quality differs from model to model, so test on your own examples first: AI tasks compares models on your cases and tells you whether a cheaper one is good enough.

ModelInput / 1MOutput / 1MContext
MiMo-V2.6-Flash₦246₦4911,048,576
GPT-6 Luna₦149₦7431,050,000
Gemini 2.5 Flash-Lite₦149₦5941,048,576
DeepSeek V4.1 Flash 1017₦172₦5161,048,576

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Common questions

How much does GLM-5.3-Flash cost in naira?

On Bridge, GLM-5.3-Flash costs ₦263 per million input tokens and ₦878 per million output tokens, with cached input at ₦52.65 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦0.834. There is no subscription and no minimum.

Can I use the GLM-5.3-Flash API from Nigeria without a dollar card?

Yes. Create a free Bridge account, top up your naira balance by bank transfer to your own account number, and call GLM-5.3-Flash with your Bridge key. A card works too, but it is not needed.

Does GLM-5.3-Flash on Bridge work with the OpenAI SDK?

Yes. Use the OpenAI SDK or any OpenAI-compatible client with the base URL https://wekoya-api.wekoya.tech/v1 and the model ID glm-5.3-flash. Streaming works, and so does tool calling.

What is the context window of GLM-5.3-Flash?

1,048,576 tokens, about 786,432 words of instructions, conversation and documents together. It writes up to 16,384 tokens in one reply.

Can GLM-5.3-Flash read pictures?

Yes. Send a picture in the message as an image_url, by link or as base64, and GLM-5.3-Flash reads it. Pictures are counted as input tokens.

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