Qwen / qwen/qwen3.8-27b-free
Qwen3.8 27B - access through LLMTR
Qwen3.8 27B is an open-weight model that accepts image input alongside text. It is a balanced option for general chat, analysis, coding help, function calling, and product flows that expect JSON-formatted output. It offers a 131K context window and produces at most 16K tokens per response. It is offered free with a daily usage quota; once the quota is reached, requests are limited until the next day.
Technical specifications
| Canonical ID | qwen/qwen3.8-27b-free |
|---|---|
| Provider | Qwen |
| Context window | 131,042 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
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 | Not available |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | Not available |
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":"qwen/qwen3.8-27b-free","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- Connecting OpenStory to the LLMTR gateway with a team key - OpenStory is a multi-team production platform, so the key is not a single environment variable. An LLMTR key can be entered per team, and it outranks the other providers whenever the gateway carries the requested model.
- Pointing the OpenReview code review bot at LLMTR - OpenReview explores the repository on every review, so token spend follows the model you pick. In this branch swapping the gateway is not a code change but a matter of three environment variables.
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