Qwen / qwen/qwen3.8-flash
Qwen3.8-Flash - access through LLMTR
Qwen3.8-Flash is Qwen's low-cost Flash model for applications that examine long documents, images and videos in the same conversation. It provides a 1,000,000-token context and a 131,072-token output limit. It supports coding assistance, document summaries, visual question answering and tool-using workflows, with JSON Schema for structured text output. Thinking is on by default and can be disabled. Cache hits on repeated prompt prefixes reduce input cost; long inputs use the same pricing tier.
Technical specifications
| Canonical ID | qwen/qwen3.8-flash |
|---|---|
| Provider | Qwen |
| Context window | 1,000,000 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image, video |
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 | $0.160000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.016000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.470000 |
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-flash","messages":[{"role":"user","content":"Hello"}]}'
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