# Qwen2 VL 7B Instruct

Model id on AIHubMix: `Qwen2-VL-7B-Instruct`
Create an API key: https://console.aihubmix.com/?utm_source=llms-agent&utm_medium=model-llms

> The model provider is the Sophnet platform. Qwen2-VL-7B-Instruct is the latest vision-language model launched by Alibaba Cloud and the newest member of the Qwen family. This model is proficient not only in recognizing common objects but also in analyzing text, charts, icons, and layouts within images. As a visual agent, it can reason and dynamically guide tool usage, supporting operations on computers and mobile phones. Additionally, it can understand long videos exceeding one hour and capture key events, accurately locate objects in images, and generate structured outputs for data such as invoices and tables, making it suitable for various scenarios including finance and business.

- Vision understanding capability: not only recognizes common objects but also analyzes text, charts, icons, and layouts within images.
- Agent capability: functions as a visual agent capable of reasoning and dynamically guiding tool usage, supporting operations on computers and mobile phones.
- Long video understanding: can comprehend video content over one hour in length and accurately localize relevant video segments.
- Visual localization: precisely locates objects within images by generating bounding boxes or points, providing stable JSON coordinate outputs.
- Structured output: supports structured data output for invoices, tables, and other data, suitable for finance, business, and various other scenarios.

> 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
- Input modalities: text, image, video
- Pricing: $0.28/M input tokens, $0.7/M output tokens

## 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":"Qwen2-VL-7B-Instruct","messages":[{"role":"user","content":"Hello"}]}'
```

## Response

Without `stream`, `/v1/chat/completions` returns a standard Chat Completions object:

```json
{"id":"...","object":"chat.completion","model":"Qwen2-VL-7B-Instruct","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/Qwen2-VL-7B-Instruct
- Try in browser: https://playground.aihubmix.com/?model=Qwen2-VL-7B-Instruct
- 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

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Canonical version of this document: https://aihubmix.com/model/Qwen2-VL-7B-Instruct/llms.txt