Bridge by Wekoya / Models / Google / Gemini 3.1 Pro Preview API, priced in naira
Gemini 3.1 Pro Preview API, priced in naira
In short: You can use Gemini 3.1 Pro Preview, a model by Google, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦2,970 per million input tokens and ₦17,820 per million output tokens. Call it with the OpenAI SDK using the model ID gemini-3.1-pro-preview.
Updated
Price and limits
| Gemini 3.1 Pro Preview | |
|---|---|
| Input, per million tokens | ₦2,970 |
| Output, per million tokens | ₦17,820 |
| Cached input, per million tokens | ₦297 |
| Writing to the cache, per million tokens | ₦2,970 |
| Context window | 1,048,576 tokens |
| Longest reply | 16,384 tokens |
| Reads pictures | Yes |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | Yes |
| Model ID | gemini-3.1-pro-preview |
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 ₦13.37 on 8 November 2026. A thousand of them cost about ₦13,365. 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 ₦10.69.
Use Gemini 3.1 Pro Preview 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 gemini-3.1-pro-preview 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="gemini-3.1-pro-preview",
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 Google models on Bridge
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Gemma 4 E4B IT | ₦35.10 | ₦176 | 131,072 |
| Gemini 2.5 Flash-Lite | ₦149 | ₦594 | 1,048,576 |
| Gemma 4 31B IT | ₦351 | ₦702 | 262,144 |
| Gemini 3.1 Flash Lite | ₦371 | ₦2,228 | 1,048,576 |
| Gemini 3.5 Flash Lite | ₦446 | ₦3,713 | 1,048,576 |
| Gemini 3.6 Flash | ₦1,114 | ₦5,569 | 1,048,576 |
| Gemini 3.7 Flash | ₦1,114 | ₦5,569 | 1,048,576 |
| Gemini 3.8 Flash | ₦1,114 | ₦5,569 | 1,048,576 |
| Gemini 2.5 Pro | ₦1,856 | ₦14,850 | 1,048,576 |
| Gemini 4 Argon | ₦2,970 | ₦14,850 | 1,048,576 |
Every Google model on Bridge, with what each can do.
Lower-priced models that can do the same things
These cost less per request than Gemini 3.1 Pro Preview and can also read pictures, call tools, reason and take at least 1,048,576 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-6.1 Sol | ₦2,970 | ₦14,850 | 1,050,000 |
| GPT-6 Sol | ₦2,970 | ₦14,850 | 1,050,000 |
| Gemini 4 Argon | ₦2,970 | ₦14,850 | 1,048,576 |
| Gemini 2.5 Pro | ₦1,856 | ₦14,850 | 1,048,576 |
Common questions
How much does Gemini 3.1 Pro Preview cost in naira?
On Bridge, Gemini 3.1 Pro Preview costs ₦2,970 per million input tokens and ₦17,820 per million output tokens, with cached input at ₦297 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦13.37. There is no subscription and no minimum.
Can I use the Gemini 3.1 Pro Preview 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 Gemini 3.1 Pro Preview with your Bridge key. A card works too, but it is not needed.
Does Gemini 3.1 Pro Preview 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 gemini-3.1-pro-preview. Streaming works, and so does tool calling.
What is the context window of Gemini 3.1 Pro Preview?
1,048,576 tokens, about 786,432 words of instructions, conversation and documents together. It writes up to 16,384 tokens in one reply.
Can Gemini 3.1 Pro Preview read pictures?
Yes. Send a picture in the message as an image_url, by link or as base64, and Gemini 3.1 Pro Preview reads it. Pictures are counted as input tokens.