Bridge by Wekoya / Models / Meta / Llama 4 Maverick 17B Instruct API, priced in naira
Llama 4 Maverick 17B Instruct API, priced in naira
In short: You can use Llama 4 Maverick 17B Instruct, a model by Meta, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦421 per million input tokens and ₦1,702 per million output tokens. Call it with the OpenAI SDK using the model ID llama4-maverick-17b.
Updated
Price and limits
| Llama 4 Maverick 17B Instruct | |
|---|---|
| Input, per million tokens | ₦421 |
| Output, per million tokens | ₦1,702 |
| Cached input, per million tokens | ₦421 |
| Writing to the cache, per million tokens | ₦421 |
| Context window | 1,000,000 tokens |
| Longest reply | 8,192 tokens |
| Reads pictures | Yes |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | No |
| Model ID | llama4-maverick-17b |
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 ₦1.48 on 8 November 2026. A thousand of them cost about ₦1,483.
Use Llama 4 Maverick 17B Instruct 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 llama4-maverick-17b 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="llama4-maverick-17b",
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 Meta models on Bridge
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Llama 4 Scout 17B | ₦176 | ₦527 | 327,680 |
| Llama 3.3 70B Turbo | ₦176 | ₦562 | 131,072 |
| Llama 4 Scout 17B Instruct | ₦298 | ₦1,158 | 10,000,000 |
| Llama 3.3 70B Instruct | ₦1,264 | ₦1,264 | 128,000 |
Every Meta model on Bridge, with what each can do.
Lower-priced models that can do the same things
These cost less per request than Llama 4 Maverick 17B Instruct and can also read pictures, call tools and take at least 1,000,000 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 |
|---|---|---|---|
| GPT-5.6 Luna | ₦297 | ₦1,782 | 1,050,000 |
| Llama 4 Scout 17B Instruct | ₦298 | ₦1,158 | 10,000,000 |
| GLM-5.3-Flash | ₦263 | ₦878 | 1,048,576 |
| Qwen3.8 Flash | ₦198 | ₦670 | 1,000,000 |
Common questions
How much does Llama 4 Maverick 17B Instruct cost in naira?
On Bridge, Llama 4 Maverick 17B Instruct costs ₦421 per million input tokens and ₦1,702 per million output tokens, with cached input at ₦421 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦1.48. There is no subscription and no minimum.
Can I use the Llama 4 Maverick 17B Instruct 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 Llama 4 Maverick 17B Instruct with your Bridge key. A card works too, but it is not needed.
Does Llama 4 Maverick 17B Instruct 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 llama4-maverick-17b. Streaming works, and so does tool calling.
What is the context window of Llama 4 Maverick 17B Instruct?
1,000,000 tokens, about 750,000 words of instructions, conversation and documents together. It writes up to 8,192 tokens in one reply.
Can Llama 4 Maverick 17B Instruct read pictures?
Yes. Send a picture in the message as an image_url, by link or as base64, and Llama 4 Maverick 17B Instruct reads it. Pictures are counted as input tokens.