Bridge by Wekoya / Models / Z.ai / GLM-4.7-Flash API, priced in naira

GLM-4.7-Flash API, priced in naira

In short: You can use GLM-4.7-Flash, a model by Z.ai, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦105 per million input tokens and ₦702 per million output tokens. Call it with the OpenAI SDK using the model ID glm-4.7-flash.

Updated

Price and limits

GLM-4.7-Flash
Input, per million tokens₦105
Output, per million tokens₦702
Cached input, per million tokens₦17.55
Writing to the cache, per million tokens₦105
Context window202,752 tokens
Longest reply16,384 tokens
Reads picturesNo
Tool callingYes
Reasoning (thinks before it answers)Yes
Model IDglm-4.7-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 ₦0.509 on 8 November 2026. A thousand of them cost about ₦509. 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 ₦0.421.

Use GLM-4.7-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-4.7-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-4.7-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)

Streaming works the same way, and so does tool calling. 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-5.3-Flash₦263₦8781,048,576
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-4.7-Flash and can also call tools, reason and take at least 202,752 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
NVIDIA Nemotron Nano 3 30B₦105₦421262,144
DeepSeek V4 Flash 0731₦105₦3161,048,576
Nemotron 3 Nano 30B A3B₦87.75₦351262,144

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Common questions

How much does GLM-4.7-Flash cost in naira?

On Bridge, GLM-4.7-Flash costs ₦105 per million input tokens and ₦702 per million output tokens, with cached input at ₦17.55 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦0.509. There is no subscription and no minimum.

Can I use the GLM-4.7-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-4.7-Flash with your Bridge key. A card works too, but it is not needed.

Does GLM-4.7-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-4.7-flash. Streaming works, and so does tool calling.

What is the context window of GLM-4.7-Flash?

202,752 tokens, about 152,064 words of instructions, conversation and documents together. It writes up to 16,384 tokens in one reply.

Can GLM-4.7-Flash read pictures?

No. GLM-4.7-Flash reads text only. For pictures, pick a model marked "Reads pictures" on the models page.

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