LLMTR / llmtr/ornith-1-35b
Ornith 1.0 35B - access through LLMTR
LLMTR Ornith 1.0 35B is a Turkey-hosted first-party coding model. It is trained to carry out multi-step tasks inside real repositories rather than to emit single-shot code: browsing a codebase, editing files, running tests, and chaining tools. It is invoked through the OpenAI-compatible Chat Completions interface, offers a 32K context window, and supports tool calling and prompt-cache reads. The model always reasons step by step before answering and returns those steps separately in `message.reasoning_content`; this cannot be turned off, so budget at least 1500 `max_tokens` or the budget is consumed during reasoning and the content comes back empty. Generation takes considerably longer than on lightweight chat models, so `stream: true` is recommended. Requests are processed on our servers in Turkey and are not forwarded to a third-party provider.
Technical specifications
| Canonical ID | llmtr/ornith-1-35b |
|---|---|
| Provider | LLMTR |
| Context window | 32,768 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $2.00 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.500000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $5.00 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions \
-H "Authorization: Bearer llmtr-your_key" \
-H "Content-Type: application/json" \
-d '{"model":"llmtr/ornith-1-35b","messages":[{"role":"user","content":"Hello"}]}'
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