Bridge by Wekoya / Models / Z.ai / GLM-5.2 API, priced in naira
GLM-5.2 API, priced in naira
In short: You can use GLM-5.2, a model by Z.ai, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦986 per million input tokens and ₦3,159 per million output tokens. Call it with the OpenAI SDK using the model ID glm-5.2.
Updated
Price and limits
| GLM-5.2 | |
|---|---|
| Input, per million tokens | ₦986 |
| Output, per million tokens | ₦3,159 |
| Cached input, per million tokens | ₦184 |
| Writing to the cache, per million tokens | ₦1,646 |
| Context window | 1,048,576 tokens |
| Longest reply | 16,384 tokens |
| Reads pictures | No |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | Yes |
| Model ID | glm-5.2 |
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 ₦3.06 on 8 November 2026. A thousand of them cost about ₦3,059. 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 ₦2.26.
Use GLM-5.2 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-5.2 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-5.2",
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
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| GLM-4.7-Flash | ₦105 | ₦702 | 202,752 |
| GLM-5.3-Flash | ₦263 | ₦878 | 1,048,576 |
| GLM-4.7 | ₦1,053 | ₦3,861 | 202,752 |
| GLM-5.3 | ₦988 | ₦4,388 | 1,048,576 |
| GLM-5 | ₦1,755 | ₦5,616 | 202,752 |
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-5.2 and can also 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.
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Gemini 3.5 Flash Lite | ₦446 | ₦3,713 | 1,048,576 |
| MiMo-V2.6-Pro | ₦679 | ₦1,374 | 1,048,576 |
| Gemini 3.1 Flash Lite | ₦371 | ₦2,228 | 1,048,576 |
| GPT-5.6 Luna | ₦297 | ₦1,782 | 1,050,000 |
Common questions
How much does GLM-5.2 cost in naira?
On Bridge, GLM-5.2 costs ₦986 per million input tokens and ₦3,159 per million output tokens, with cached input at ₦184 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦3.06. There is no subscription and no minimum.
Can I use the GLM-5.2 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-5.2 with your Bridge key. A card works too, but it is not needed.
Does GLM-5.2 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-5.2. Streaming works, and so does tool calling.
What is the context window of GLM-5.2?
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-5.2 read pictures?
No. GLM-5.2 reads text only. For pictures, pick a model marked "Reads pictures" on the models page.