Bridge by Wekoya / Models / Meta / Llama 4 Scout 17B Instruct API, priced in naira
Llama 4 Scout 17B Instruct API, priced in naira
In short: You can use Llama 4 Scout 17B Instruct, a model by Meta, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦298 per million input tokens and ₦1,158 per million output tokens. Call it with the OpenAI SDK using the model ID llama4-scout-17b.
Updated
Price and limits
| Llama 4 Scout 17B Instruct | |
|---|---|
| Input, per million tokens | ₦298 |
| Output, per million tokens | ₦1,158 |
| Cached input, per million tokens | ₦298 |
| Writing to the cache, per million tokens | ₦298 |
| Context window | 10,000,000 tokens |
| Longest reply | 8,192 tokens |
| Reads pictures | Yes |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | No |
| Model ID | llama4-scout-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 ₦1.03 on 8 November 2026. A thousand of them cost about ₦1,027.
Use Llama 4 Scout 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-scout-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-scout-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 Maverick 17B Instruct | ₦421 | ₦1,702 | 1,000,000 |
| Llama 3.3 70B Instruct | ₦1,264 | ₦1,264 | 128,000 |
Every Meta model on Bridge, with what each can do.
Common questions
How much does Llama 4 Scout 17B Instruct cost in naira?
On Bridge, Llama 4 Scout 17B Instruct costs ₦298 per million input tokens and ₦1,158 per million output tokens, with cached input at ₦298 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦1.03. There is no subscription and no minimum.
Can I use the Llama 4 Scout 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 Scout 17B Instruct with your Bridge key. A card works too, but it is not needed.
Does Llama 4 Scout 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-scout-17b. Streaming works, and so does tool calling.
What is the context window of Llama 4 Scout 17B Instruct?
10,000,000 tokens, about 7,500,000 words of instructions, conversation and documents together. It writes up to 8,192 tokens in one reply.
Can Llama 4 Scout 17B Instruct read pictures?
Yes. Send a picture in the message as an image_url, by link or as base64, and Llama 4 Scout 17B Instruct reads it. Pictures are counted as input tokens.