# Qwen Turbo Model id on AIHubMix: `qwen-turbo-latest` Create an API key: https://console.aihubmix.com/?utm_source=llms-agent&utm_medium=model-llms > The Qwen series model with the fastest speed and lowest cost, suitable for simple tasks. This model is a dynamically updated version, and updates will not be announced in advance. The model's overall Chinese and English abilities have been significantly improved, human preference alignment has been greatly enhanced, inference capability and complex instruction understanding have been substantially strengthened, performance on difficult tasks is better, and mathematics and coding skills have been significantly improved. The current version is qwen-turbo-2025-04-28. > Capability flags (tool use, structured output, vision, reasoning, …) are **not published** for this model. AIHubMix lists them only after official confirmation and this id is not covered yet — their absence below means unverified, not unsupported. Everything else here comes from the live catalog. Verify with a minimal real call before relying on a capability (see https://aihubmix.com/agents.md — an HTTP 200 alone is not success). - Developer: Qwen - Pricing: $0.046/M input tokens, $0.092/M output tokens, $0.0092/M cached input ## Endpoints (base URL: https://aihubmix.com) - `POST /v1/chat/completions` — OpenAI Chat Completions (`Authorization: Bearer $AIHUBMIX_API_KEY`) ## Example ```bash curl -s https://aihubmix.com/v1/chat/completions \ -H "Authorization: Bearer $AIHUBMIX_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"qwen-turbo-latest","messages":[{"role":"user","content":"Hello"}]}' ``` ## Response Without `stream`, `/v1/chat/completions` returns a standard Chat Completions object: ```json {"id":"...","object":"chat.completion","model":"qwen-turbo-latest","choices":[{"message":{"role":"assistant","content":"..."}}],"usage":{"prompt_tokens":12,"completion_tokens":24,"total_tokens":36}} ``` With `"stream": true` the response is `text/event-stream`: read each `data:` JSON chunk until `data: [DONE]`. The Messages and Gemini endpoints return their protocols' native response shapes (Anthropic / Google). ## Errors Error responses carry a `tid` (trace id) — include it when contacting support. Reference: https://docs.aihubmix.com/en/FAQs/HTTP-Codes.md - 400 — parameter error; most are passed through from the upstream provider (media: `prompt_missing`, `size_not_supported`, `n_not_within_range`, …) - 401 — missing `Authorization` header, or the key is invalid/expired - 403 — `insufficient_user_quota` (top up at https://console.aihubmix.com/?utm_source=llms-agent&utm_medium=model-llms), account suspended, or this key is not allowed to use this model - 429 — rate limited; back off and retry - 503 — no channel can serve the request (check the model id and your access), or the upstream provider is throttling; retry later ## More - Model page: https://aihubmix.com/model/qwen-turbo-latest - Try in browser: https://playground.aihubmix.com/?model=qwen-turbo-latest - Compare with another model (human-facing, side-by-side specs and pricing): https://aihubmix.com/compare — pick this model and a peer there; published pairs are listed in https://aihubmix.com/sitemap-compare.xml, unpublished pairs 404 so do not compose the path by hand - Full parameter schema: follow `https://aihubmix.com/model-data/index.json` — find this id and fetch its `path` (filenames are content-addressed; do not compose them by hand) - Generate runnable code programmatically: npm `@aihubmix/codegen` — the generator behind the Playground's "Get Code" (4 protocols × 7 languages, media endpoints included); the body it builds is the exact wire body the Playground sends, so generated snippets and real requests cannot diverge. `@aihubmix/model-schema` (npm) translates the parameter schema above into codegen input - Site index for agents: https://aihubmix.com/llms.txt · Onboarding: https://aihubmix.com/agents.md --- Canonical version of this document: https://aihubmix.com/model/qwen-turbo-latest/llms.txt