An open model that gets close to closed ones at coding: it understands project context rather than a single snippet and carries a task through to a working diff. A sensible ceiling if the team will not send its repository outside.
| HumanEval | 92.7 | |
|---|---|---|
| MBPP | 90.2 | |
| LiveCodeBench | 31.4 |
Which GPU does Qwen2.5 Coder 32B need?
The entry configuration is 1x RTX5090, which delivers around 38 tokens per second. For more parallel requests and headroom on speed, go with 1x H100.
How much does Qwen2.5 Coder 32B cost?
An hour of Qwen2.5 Coder 32B runs from $0.66 to $3.33 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Qwen2.5 Coder 32B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass qwen2.5-coder:32b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Qwen2.5 Coder 32B runs on a dedicated GPU server inside a private loop: requests and responses never reach the model vendor and are not used for training.
What context window and license does Qwen2.5 Coder 32B have?
Qwen2.5 Coder 32B holds 32K tokens of context per request and ships under the Apache 2.0 license, so you can use it commercially on your own hosting terms.