# Llama 4 Scout 17B API, priced in naira

URL: https://bridge.wekoya.tech/models/llama-4-scout-17b-16e-instruct
Updated: 2026-11-08

**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`.

## 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](https://bridge.wekoya.tech/models/llama-4-scout-17b-16e-instruct) 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](https://bridge.wekoya.tech/sign-up), then:

```python
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](https://bridge.wekoya.tech/docs/tools). To send a picture, add it to the message as an [image](https://bridge.wekoya.tech/docs/images). The [quickstart](https://bridge.wekoya.tech/docs) has the same in JavaScript and curl, and the [Responses API](https://bridge.wekoya.tech/docs/responses) works too.

## Other Meta models on Bridge

| Model | Input / 1M | Output / 1M | Context |
| --- | --- | --- | --- |
| [Llama 3.3 70B Turbo](https://bridge.wekoya.tech/models/llama-3-3-70b-instruct) | ₦176 | ₦562 | 131,072 |
| [Llama 4 Scout 17B Instruct](https://bridge.wekoya.tech/models/llama4-scout-17b) | ₦298 | ₦1,158 | 10,000,000 |
| [Llama 4 Maverick 17B Instruct](https://bridge.wekoya.tech/models/llama4-maverick-17b) | ₦421 | ₦1,702 | 1,000,000 |
| [Llama 3.3 70B Instruct](https://bridge.wekoya.tech/models/llama3-3-70b) | ₦1,264 | ₦1,264 | 128,000 |

[Every Meta model on Bridge](https://bridge.wekoya.tech/models/meta), 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](https://bridge.wekoya.tech/docs/workloads) 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](https://bridge.wekoya.tech/models/gemini-2-5-flash-lite) | ₦149 | ₦594 | 1,048,576 |
| [DeepSeek V4.1 Flash 1017](https://bridge.wekoya.tech/models/deepseek-v4-1-flash) | ₦172 | ₦516 | 1,048,576 |

[Create a free account](https://bridge.wekoya.tech/sign-up)

## 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.

## Read next

- [All models and prices](https://bridge.wekoya.tech/models)
- [Quickstart](https://bridge.wekoya.tech/docs)
- [Pay for AI APIs from Nigeria](https://bridge.wekoya.tech/guides/pay-for-ai-apis-in-nigeria)