Bridge by Wekoya / Models / Qwen / Qwen3.8 27B API, priced in naira
Qwen3.8 27B API, priced in naira
In short: You can use Qwen3.8 27B, a model by Qwen, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦263 per million input tokens and ₦3,291 per million output tokens. Call it with the OpenAI SDK using the model ID qwen3.8-27b.
Updated
Price and limits
| Qwen3.8 27B | |
|---|---|
| Input, per million tokens | ₦263 |
| Output, per million tokens | ₦3,291 |
| Cached input, per million tokens | ₦66.69 |
| Writing to the cache, per million tokens | ₦263 |
| Context window | 262,144 tokens |
| Longest reply | 16,384 tokens |
| Reads pictures | Yes |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | Yes |
| Model ID | qwen3.8-27b |
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 ₦2.04 on 8 November 2026. A thousand of them cost about ₦2,040. 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 ₦1.84.
Use Qwen3.8 27B 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 qwen3.8-27b 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="qwen3.8-27b",
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 Qwen models on Bridge
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Qwen3.8 Flash | ₦198 | ₦670 | 1,000,000 |
| Qwen3-Next 80B-A3B Instruct | ₦263 | ₦2,106 | 262,144 |
| Qwen3 Coder Next | ₦878 | ₦2,106 | 262,144 |
| Qwen3 VL 235B A22B Instruct | ₦930 | ₦4,668 | 262,144 |
Every Qwen model on Bridge, with what each can do.
Lower-priced models that can do the same things
These cost less per request than Qwen3.8 27B and can also read pictures, call tools, reason and take at least 262,144 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 |
|---|---|---|---|
| MiMo-V2.6-Pro | ₦679 | ₦1,374 | 1,048,576 |
| MiniMax-M3 | ₦491 | ₦1,931 | 524,288 |
| Gemini 3.1 Flash Lite | ₦371 | ₦2,228 | 1,048,576 |
| Step 3.7 Flash | ₦351 | ₦2,018 | 262,144 |
Common questions
How much does Qwen3.8 27B cost in naira?
On Bridge, Qwen3.8 27B costs ₦263 per million input tokens and ₦3,291 per million output tokens, with cached input at ₦66.69 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦2.04. There is no subscription and no minimum.
Can I use the Qwen3.8 27B 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 Qwen3.8 27B with your Bridge key. A card works too, but it is not needed.
Does Qwen3.8 27B 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 qwen3.8-27b. Streaming works, and so does tool calling.
What is the context window of Qwen3.8 27B?
262,144 tokens, about 196,608 words of instructions, conversation and documents together. It writes up to 16,384 tokens in one reply.
Can Qwen3.8 27B read pictures?
Yes. Send a picture in the message as an image_url, by link or as base64, and Qwen3.8 27B reads it. Pictures are counted as input tokens.