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.
Same model, other providers: TensorX (EU) · Heabsy (EU) · LLMTR (Türkiye)
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
- Intern-S2 vs Qwen3.8 27B, Nemotron 3.5 Super VL, Agnes 2.5 Flash - All four models read images on LLMTR with the same API key through /v1/chat/completions. Intern-S2 is free until 31 October 2026, 23:59 (TRT) and returns 410 from 1 November 2026; Qwen3.8 27B, Nemotron 3.5 Super VL and Agnes 2.5 Flash run on quotas with no end date set and can be used free of charge after 31 October 2026 as well. Video is open only on Nemotron 3.5 Super VL and Agnes 2.5 Flash; Agnes takes images only as base64 data URLs.
- Send images to the free Qwen3.8 27B: API guide - On LLMTR, qwen/qwen3.8-27b-free is called with the OpenAI SDK at https://llmtr.com/v1/chat/completions, and the model card lists image input. The image travels inside the message as an image_url part. The row is free with a daily usage quota; the context is 131,042 tokens and one response can carry up to 16,384 output tokens.
- JSON output from the free Qwen3.8 27B: json_object guide - On LLMTR the model card for qwen/qwen3.8-27b-free lists JSON mode. You add response_format {"type": "json_object"} to a /v1/chat/completions request, describe the keys in the prompt, then parse the answer with json.loads and validate it in code. The card does not list JSON Schema (structured outputs). The row is free with a daily usage quota.
- Models added to LLMTR in October 2026: facts and guide - Eight of the models LLMTR added in October 2026 in one table: Glimpse, Muse Spark Open, Nemotron 3.5 Super VL (paid and free rows), Moondream 3.1, EmbeddingMagibu 200M, the two decision models on /v1/systemone and Beam 1.0, free until 22 October 2026, 23:59 (Turkey time). All are called at https://llmtr.com/v1 with the same key; the free Qwen3.8 27B row, added earlier, is listed next to them.
- qwen3.6-27b-free retired: managing the daily quota on qwen3.8-27b-free - For anyone looking for this row: the old identifier now returns a 410 model_retired. The successor qwen3.8-27b-free is also free and carries the same core capabilities (tool calling, JSON mode, image input); this article covers the free tier's daily quota behavior.
- 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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