Bridge by Wekoya / Models / Meta / Llama 4 Scout 17B API, priced in naira
Llama 4 Scout 17B API, priced in naira
In short: You can use Llama 4 Scout 17B, a model by Meta, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦176 per million input tokens and ₦527 per million output tokens. Call it with the OpenAI SDK using the model ID llama-4-scout-17b-16e-instruct.
Updated
Price and limits
| Llama 4 Scout 17B | |
|---|---|
| Input, per million tokens | ₦176 |
| Output, per million tokens | ₦527 |
| Cached input, per million tokens | ₦176 |
| Writing to the cache, per million tokens | ₦176 |
| Context window | 327,680 tokens |
| Longest reply | 16,384 tokens |
| Reads pictures | Yes |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | No |
| Model ID | llama-4-scout-17b-16e-instruct |
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 ₦0.527 on 8 November 2026. A thousand of them cost about ₦527.
Use Llama 4 Scout 17B 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 llama-4-scout-17b-16e-instruct 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="llama-4-scout-17b-16e-instruct",
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 3.3 70B Turbo | ₦176 | ₦562 | 131,072 |
| Llama 4 Scout 17B Instruct | ₦298 | ₦1,158 | 10,000,000 |
| 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.
Lower-priced models that can do the same things
These cost less per request than Llama 4 Scout 17B and can also read pictures, call tools and take at least 327,680 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 2.5 Flash-Lite | ₦149 | ₦594 | 1,048,576 |
| DeepSeek V4.1 Flash 1017 | ₦172 | ₦516 | 1,048,576 |
Common questions
How much does Llama 4 Scout 17B cost in naira?
On Bridge, Llama 4 Scout 17B costs ₦176 per million input tokens and ₦527 per million output tokens, with cached input at ₦176 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦0.527. There is no subscription and no minimum.
Can I use the Llama 4 Scout 17B 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 with your Bridge key. A card works too, but it is not needed.
Does Llama 4 Scout 17B 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 llama-4-scout-17b-16e-instruct. Streaming works, and so does tool calling.
What is the context window of Llama 4 Scout 17B?
327,680 tokens, about 245,760 words of instructions, conversation and documents together. It writes up to 16,384 tokens in one reply.
Can Llama 4 Scout 17B read pictures?
Yes. Send a picture in the message as an image_url, by link or as base64, and Llama 4 Scout 17B reads it. Pictures are counted as input tokens.