Bridge by Wekoya / Models / Google / Gemini 2.5 Flash-Lite API, priced in naira

Gemini 2.5 Flash-Lite API, priced in naira

In short: You can use Gemini 2.5 Flash-Lite, a model by Google, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦149 per million input tokens and ₦594 per million output tokens. Call it with the OpenAI SDK using the model ID gemini-2.5-flash-lite.

Updated 8 November 2026

Price and limits

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 ₦0.520 on 8 November 2026. A thousand of them cost about ₦520. 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 ₦0.386.

Use Gemini 2.5 Flash-Lite 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-2.5-flash-lite 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-2.5-flash-lite",
    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

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 2.5 Flash-Lite 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.

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