AI inference infrastructure

One AI API. More models. Better access.

Access open-weight and proprietary AI models through Fikra API. Compare token prices, integrate with familiar developer tools, and top up a prepaid wallet from $1.

Explore the models Sign up and get $0.50

Prepaid wallet, credited in USD.

Fikra API Example integration

API endpoint

https://api.fikraapi.co.ke/v1/chat/completions 
# Python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.fikraapi.co.ke/v1",
    api_key="YOUR_FIKRA_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek-v4.1-flash",
    messages=[
        {
            "role": "user",
            "content": "Hello, Fikra!"
        }
    ]
)

print(response.choices[0].message.content)
Illustrative example. Use a valid API key and a model identifier supported by your account. Never expose API keys in browser-side code.
Multiple AI models Explore supported model families through one API.
Transparent pricing Check model-specific token rates before integrating.
Developer-friendly Use documented endpoints and familiar SDK workflows.
Accessible payments Fund your account using supported payment methods.

Featured models

Choose the model that fits your workload

Different models have different pricing, capabilities, latency characteristics, and workload requirements. Explore these four featured options and consult the live Fikra catalogue for current availability and prices.

MODEL 01

GLM 5.3 Flash

Explore this model for your AI applications. Review its published capabilities, supported parameters, and current token pricing before selecting it for a production workload.

View model availability
MODEL 02

DeepSeek V4.1 Flash

Evaluate this model against your application's requirements. Check its current input and output rates and verify the supported model identifier in the live catalogue.

View model availability
MODEL 03

Kimi K3

Explore the model's documented capabilities, context requirements, and pricing to determine whether it fits your intended application.

View model availability
MODEL 04

Step 5 Preview

Review the available model documentation and pricing before integrating it into your application or comparing it with alternatives.

View model availability
Model availability and pricing: The featured models above are the models selected for this page. Check the live catalogue for their exact API identifiers, availability, capabilities, and current prices. Do not assume that a displayed marketing name is also the API identifier.

AI API pricing

Understand your token costs before you build

AI API pricing is model-dependent. The cost of a workload depends on the number of input tokens, generated output tokens, the selected model, and any applicable caching or other pricing rules.

Fikra's model catalogue is the reference point for current model prices. Compare rates using the expected input/output distribution of your application rather than comparing a single advertised price in isolation.

Check the current model catalogue
Input tokens

Tokens supplied in prompts, context, and other supported input fields.

Per model
Output tokens

Tokens generated by the selected model in its response.

Per model
Model selection

Compare available models using both capability and cost.

Your choice
Account funding

Consult the billing interface for current minimums and payment options.

Pay as you go

Prices and availability can change. Consult Fikra's live catalogue and billing documentation before making financial estimates or production deployment decisions.

Explore current pricing Billing documentation

Developer integration

Integrate AI without rebuilding your entire application

Fikra provides an OpenAI-compatible API interface for supported workflows. Developers can configure a compatible client with Fikra's endpoint and credentials, then select a supported model.

This approach can simplify integration for applications that already use compatible client libraries. Always verify endpoint compatibility, model identifiers, supported parameters, and response formats in the documentation.

1

Create an account and obtain an API key through the supported account interface.

2

Configure your backend client to use Fikra's API endpoint.

3

Select a supported model, test the request, and monitor your actual token consumption.

Read the API documentation
Example request JSON

Chat completions

POST /v1/chat/completions 
{
  "model": "YOUR_SUPPORTED_MODEL_ID",
  "messages": [
    {
      "role": "user",
      "content": "Explain this concept."
    }
  ]
}

Replace the model placeholder with the exact identifier returned by the live catalogue. Send authenticated requests from your backend.

Accessible payments

Fund your AI API account

No subscription and no credit-card gate. Prepaid wallet, pay as you go.

Fikra accepts payments through our secure payment provider. Top-ups are billed in KES at KES 133 = $1, with the wallet credited in USD.

Sign up with no card required, then use the same developer interface to build your applications.

Explore Fikra API

Supported payment options

Cards Visa, Mastercard
USDC / x402 Per-call, on Base

Payment availability depends on the payment methods enabled for the relevant account and checkout flow. Consult the live billing interface for current options and conditions.

Choosing an AI API provider

Compare more than the advertised price

The right inference provider balances model capability, total workload cost, integration requirements, reliability, and operational needs.

Model availability

Verify that the models and capabilities your application requires are available.

Total token cost

Calculate costs using realistic input and output volumes for your workload.

Integration requirements

Check endpoints, authentication, parameters, SDK compatibility, and error handling.

Payment accessibility

Confirm that supported account funding methods fit your requirements.

Reliability and latency

Test real requests and evaluate performance against your application's requirements.

Transparent documentation

Use current model identifiers, published pricing, and documented service conditions.

Frequently asked questions

Everything you need to know about Fikra API

Learn how the API works, how model pricing is structured, and how to start integrating AI into your application.

Explore the documentation
What is Fikra API?

Fikra API provides developers with a common API interface for accessing multiple supported AI models. It provides model discovery, API integration, published pricing, and account billing capabilities.

What is an AI model API?

An AI model API allows an application to send inputs to a model and receive outputs through a defined software interface. Developers use AI APIs for chat, document processing, coding assistance, data extraction, and other supported workloads.

Which AI models are featured on this page?

The four featured models are GLM 5.3 Flash, DeepSeek V4.1 Flash, Kimi K3, and Step 5 Preview. Check the live Fikra catalogue for exact API identifiers, current availability, capabilities, and pricing.

How much does Fikra API cost?

Inference pricing depends on the model and applicable token rates. Compare input and output pricing in the live model catalogue before estimating production costs. Consult the billing interface for current funding rules and account conditions.

Can I use Fikra API with the OpenAI SDK?

Fikra provides an OpenAI-compatible API interface for supported workflows. Configure a compatible client with the documented Fikra endpoint and your API key. Verify supported endpoints, parameters, and model identifiers before deployment.

Can I pay without a US card?

Yes. Payments are processed through our secure payment provider. You can top up by card anywhere in the world. Both are charged in KES at KES 133 = $1. USDC per-call payments via x402 are also supported.

Can I pay with a regular card?

Yes. Card payments (Visa and Mastercard) work worldwide. You top up a prepaid wallet and usage is deducted per request.

What is the difference between input and output tokens?

Input tokens represent the content supplied to a model, including prompts and supported context. Output tokens represent generated content. Many providers price input and output differently, so both should be included in workload cost estimates.

Is Fikra API suitable for production applications?

Suitability depends on your workload, required capacity, latency, reliability, supported models, and operational requirements. Test the API and review its documented limits and service conditions before relying on it for a production application.

Where can I find the API documentation?

Visit docs.fikraapi.co.ke for getting-started instructions, authentication, endpoint references, model information, and billing guidance.

Build with Fikra API

Find your model. Connect your application. Start building.

Explore the current model catalogue, compare token prices, and integrate Fikra API into your development workflow.

Get Started Read the documentation
usagestatusdashboard