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.
Qwen3.5-27B - Model - OpenSmartRoute
Modelv1.0.0
Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities a
Reference model card from the OpenRouter listing - model qwen/qwen3.5-27b. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
Facts
Vendor
Qwen
Context window
262,144 tokens
Max output
65,536 tokens
Input price
$0.20 / 1M tokens
Output price
$1.56 / 1M tokens
Input
text, image, video
Output
text
Tool calling
yes
Structured outputs
yes
Reasoning
yes
Open weights
Qwen/Qwen3.5-27B
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model qwen/qwen3.5-27b
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-qwen3-5-27b", ...}
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
model-qwen-qwen3-5-27b.ocm.jsonjson
{
"ocm": "1",
"id": "model-qwen-qwen3-5-27b",
"kind": "llm",
"name": "Qwen3.5-27B",
"description": "The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...",
"publisher": "Qwen",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"llm",
"qwen",
"openrouter",
"open-weights",
"reasoning",
"tool-calling",
"image",
"video",
"models"
],
"languages": [
"en"
],
"modalities": [
"text",
"image",
"video"
],
"supports_tools": true,
"supports_streaming": true,
"context_window": 262144
},
"quality_prior": 0.6,
"examples": [
"The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of..."
],
"primary": false,
"metadata": {
"source": {
"provider": "models",
"ref": "1772053810",
"url": "https://openrouter.ai/qwen/qwen3.5-27b",
"key": "qwen/qwen3.5-27b",
"catalogue": "https://openrouter.ai/api/v1"
},
"model": "qwen/qwen3.5-27b",
"pricing": {
"input_usd_per_1m": 0.195,
"output_usd_per_1m": 1.56
},
"max_output_tokens": 65536,
"output_modalities": [
"text"
],
"hugging_face_id": "Qwen/Qwen3.5-27B",
"reasoning": true,
"created": 1772053810,
"benchmarks": {
"hub_downloads": 1873363,
"hub_downloads_total": 19201211,
"hub_likes": 1045,
"hub_trending": 1
}
},
"cost": {
"usd_per_1k_tokens": 0.000878
},
"endpoints": [
{
"protocol": "openai",
"url": "https://openrouter.ai/api/v1"
}
]
}
Fetch it by URL: GET /api/v1/registry/model-qwen-qwen3-5-27b/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.
