Bridge by Wekoya / Models / Qwen / Qwen3-Next 80B-A3B Instruct API, priced in naira
Qwen3-Next 80B-A3B Instruct API, priced in naira
In short: You can use Qwen3-Next 80B-A3B Instruct, a model by Qwen, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦263 per million input tokens and ₦2,106 per million output tokens. Call it with the OpenAI SDK using the model ID qwen3-next-80b-a3b.
Updated
Price and limits
| Qwen3-Next 80B-A3B Instruct | |
|---|---|
| Input, per million tokens | ₦263 |
| Output, per million tokens | ₦2,106 |
| Cached input, per million tokens | ₦263 |
| Writing to the cache, per million tokens | ₦263 |
| Context window | 262,144 tokens |
| Longest reply | 16,384 tokens |
| Reads pictures | No |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | No |
| Model ID | qwen3-next-80b-a3b |
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 ₦1.45 on 8 November 2026. A thousand of them cost about ₦1,448.
Use Qwen3-Next 80B-A3B 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 qwen3-next-80b-a3b 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-next-80b-a3b",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)Streaming works the same way, and so does tool calling. 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 |
| Qwen3.8 27B | ₦263 | ₦3,291 | 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-Next 80B-A3B Instruct and can also call tools 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 |
|---|---|---|---|
| GPT-5.6 Luna | ₦297 | ₦1,782 | 1,050,000 |
| Nemotron 3 Nano Omni 30B A3B Reasoning | ₦351 | ₦1,404 | 262,144 |
| Llama 4 Scout 17B Instruct | ₦298 | ₦1,158 | 10,000,000 |
| NVIDIA Nemotron 3 Super 120B A12B | ₦263 | ₦1,141 | 262,144 |
Common questions
How much does Qwen3-Next 80B-A3B Instruct cost in naira?
On Bridge, Qwen3-Next 80B-A3B Instruct costs ₦263 per million input tokens and ₦2,106 per million output tokens, with cached input at ₦263 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦1.45. There is no subscription and no minimum.
Can I use the Qwen3-Next 80B-A3B 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 Qwen3-Next 80B-A3B Instruct with your Bridge key. A card works too, but it is not needed.
Does Qwen3-Next 80B-A3B 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 qwen3-next-80b-a3b. Streaming works, and so does tool calling.
What is the context window of Qwen3-Next 80B-A3B Instruct?
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-Next 80B-A3B Instruct read pictures?
No. Qwen3-Next 80B-A3B Instruct reads text only. For pictures, pick a model marked "Reads pictures" on the models page.