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 | 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 | 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/qwen3-6-35b","messages":[{"role":"user","content":"Hello"}]}'
Guides about this model
- Cline with LLMTR: provider setup inside the editor panel - Cline picks a provider from a settings panel inside the editor and stores the chosen model separately for Plan and Act. This guide walks the panel flow, the request the handler builds and the SDK registration.
- Strix LLMTR setup: model prefix, dedupe and the reporting chain - Built from the real files on two separate Strix branches, this guide walks through model prefix resolution, why the dedupe model needs its own endpoint, and which Turkey-hosted rows actually support the tool calls an agent loop needs.
- The models.dev LLMTR provider entry and metadata sync - models.dev is not a service but an open metadata database holding model ids and capabilities in TOML files. We compare the current LLMTR entry against the live catalog to see which rows are missing and which one is retired.
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