LLMTR / llmtr/qwen3-6-35b
Qwen 3.6 35B-A3B - access through LLMTR
A Turkey-hosted MoE option that offers a stronger alternative to Gemma 4 on heavier coding and logic tasks. Useful when you want deeper analysis without giving up local hosting. It generates roughly 8 tokens per second and tends to produce long answers: outputs above 1000 tokens take more than two minutes. Use `stream: true` with this model, raise your client read timeout to at least 300 seconds, and cap the response with `max_tokens` when you do not need the full length.
Technical specifications
| Canonical ID | llmtr/qwen3-6-35b |
|---|---|
| Provider | LLMTR |
| Context window | 16,384 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 | OUTPUT_TEXT | PER_1M_TOKENS | $10.00 |
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/qwen3-6-35b","messages":[{"role":"user","content":"Hello"}]}'Related models
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- Ornith 1.0 35B llmtr/ornith-1-35b
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