Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
Qwen2.5 VL 72B Instruct - Model - OpenSmartRoute
Modelv1.0.0
Qwen2.5 VL 72B Instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Reference model card from the OpenRouter listing - model qwen/qwen2.5-vl-72b-instruct. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
Qwen2.5 VL 72B Instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Facts
Vendor
Qwen
Context window
128,000 tokens
Max output
115,200 tokens
Input price
$0.80 / 1M tokens
Output price
$1.00 / 1M tokens
Input
text, image
Output
text
Tool calling
no
Structured outputs
yes
Reasoning
no
Open weights
Qwen/Qwen2.5-VL-72B-Instruct
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model qwen/qwen2.5-vl-72b-instruct
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configure
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
# or pin it on the OpenAI-compatible endpoint: {"model": "model-qwen-qwen2-5-vl-72b-instruct", ...}
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
model-qwen-qwen2-5-vl-72b-instruct.ocm.jsonjson
{
"ocm": "1",
"id": "model-qwen-qwen2-5-vl-72b-instruct",
"kind": "llm",
"name": "Qwen2.5 VL 72B Instruct",
"description": "Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.",
"publisher": "Qwen",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"llm",
"qwen",
"openrouter",
"open-weights",
"image",
"models"
],
"languages": [
"en"
],
"modalities": [
"text",
"image"
],
"supports_tools": false,
"supports_streaming": true,
"context_window": 128000
},
"quality_prior": 0.6,
"examples": [
"Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images."
],
"primary": false,
"metadata": {
"source": {
"provider": "models",
"ref": "1738410311",
"url": "https://openrouter.ai/qwen/qwen2.5-vl-72b-instruct",
"key": "qwen/qwen2.5-vl-72b-instruct",
"catalogue": "https://openrouter.ai/api/v1"
},
"model": "qwen/qwen2.5-vl-72b-instruct",
"pricing": {
"input_usd_per_1m": 0.8,
"output_usd_per_1m": 1,
"cache_read_usd_per_1m": 0.4
},
"max_output_tokens": 115200,
"output_modalities": [
"text"
],
"hugging_face_id": "Qwen/Qwen2.5-VL-72B-Instruct",
"created": 1738410311,
"benchmarks": {
"hub_downloads": 94283,
"hub_downloads_total": 7586519,
"hub_likes": 653,
"hub_trending": 0
}
},
"cost": {
"usd_per_1k_tokens": 0.0009
},
"endpoints": [
{
"protocol": "openai",
"url": "https://openrouter.ai/api/v1"
}
]
}
Fetch it by URL: GET /api/v1/registry/model-qwen-qwen2-5-vl-72b-instruct/manifest?version=1.0.0
Reviews
Star ratings from people who tried it. One review per account; edit yours any time.
No reviews yet. Install it, try it, and be the first to rate it.
