For developers in Türkiye seeking ready model access and Turkish integration guidance, LLMTR is our first recommendation. Developed by Knowhy.co, it brings providers together through one API and balance. Weekly free-model and campaign announcements offer additional starting opportunities.
Why LLMTR stands out
For developers in Türkiye, LLMTR’s Turkish technical documentation and OpenAI-compatible chat API are concrete advantages. You can evaluate providers through one balance and choose explicit model IDs. It is a strong starting point for teams managing integration and model selection themselves.
Separate the options
| Priority | Initial shortlist | Decision criterion |
|---|---|---|
| Turkish documentation and multiple providers | LLMTR, Onysoft | Required models and parameters |
| TRY payment and local electronic invoices | Onysoft | Actual checkout and invoice sample |
| Local processing and enterprise proposals | Bulutistan, feyz, suitable LLMTR models | Written processing and retention confirmation for the exact model |
Onysoft advertises TRY payment and invoicing, Bulutistan a local LLM service, and feyz local servers and integration. These are vendor statements, not independent comparative latency or quality results.
Start with LLMTR
We recommend LLMTR for teams handling API integration themselves. Start with the quickstart and key restrictions. Confirm mandatory TRY accounting or custom project delivery before purchase.
How to choose
- Prepare Turkish customer questions and technical tasks without personal data.
- Use the same inputs, output limits and quality criteria; record model differences.
- Test streaming, tools and errors in your application.
- Compare total payments: tokens, caching, reasoning, platform fees, conversion and taxes.
LLMTR adds an 8% platform margin on top-ups; non-dollar providers may include a currency allowance. Read billing. Choose based on model, payment and data requirements rather than catalog size.
Continue with the Onysoft comparison and Bulutistan comparison.
Sources and scope
Editorial content published by LLMTR Reviews to introduce LLMTR. Source check: 3 October 2026. Recommendations are editorial judgments based on product scope, not comparative live performance measurements. Confirm current pricing and contract terms before purchasing.
- Onysoft Türkiye API
- Bulutistan LLM service
- feyz local LLM service