Answers from the documentation; checking which model is on duty
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 Coder 32B Instruct - Model - OpenSmartRoute
Modelv1.0.0
Qwen2.5 Coder 32B Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen).
Reference model card from the OpenRouter listing - model qwen/qwen-2.5-coder-32b-instruct. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
Qwen2.5 Coder 32B Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in code generation, code reasoning...
Facts
Vendor
Qwen
Context window
32,768 tokens
Max output
29,491 tokens
Input price
$0.66 / 1M tokens
Output price
$1.00 / 1M tokens
Input
text
Output
text
Tool calling
no
Structured outputs
yes
Reasoning
no
Open weights
Qwen/Qwen2.5-Coder-32B-Instruct
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model qwen/qwen-2.5-coder-32b-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 configurecurl-s-X POST https://osr-api.kindrock-caaab1a2.centralindia.azurecontainerapps.io/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-qwen-2-5-coder-32b-instruct", ...}
Installed into a catalogue, chosen by a router
Install Qwen2.5 Coder 32B Instruct and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.
