LLMTR / llmtr/qwen3-8-27b
Qwen 3.8 27B - access through LLMTR
LLMTR Qwen 3.8 27B is a first-party language model hosted in Turkey; requests are never forwarded to a third-party provider. It is invoked through the OpenAI-compatible Chat Completions API and offers a 262,144-token context window (prompt and completion together, per request). It makes tool/function calls, and with `response_format` it returns a JSON object or output that conforms to the JSON schema you supply. Thinking is off by default: add `:think` to the model id or send `reasoning: true` in the body to turn it on. With thinking on, the reasoning is returned in `reasoning_content` and is spent from your `max_tokens` budget, so give `max_tokens` at least 4,096. A repeated prompt prefix can be served from cache; only the tokens reported as `cached_tokens` are billed at the discounted rate. It accepts text input only; image, audio and file input are not supported.
Technical specifications
| Canonical ID | llmtr/qwen3-8-27b |
|---|---|
| Provider | LLMTR |
| Context window | 262,144 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 | $5.00 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $1.25 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $7.00 |
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/qwen3-8-27b","messages":[{"role":"user","content":"Hello"}]}'
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