Qwen·released 2024-11-091 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by Qwen and released in 2024, this model is a large-scale system with 32.76 billion parameters, a size that offers substantial capability headroom at the cost of higher compute and serving expense. That scale places it beyond compact and mid-size designs, trading the efficiency and lower cost of smaller models for greater capacity.
4 cited facts
This model is not yet scored on any tracked benchmark. Consequently, it holds no current top score on any benchmark.
2 cited facts
The average gap to the state of the art is unknown, so no frontier-versus-competitive band can be stated from a score gap. It holds the top score on 0 benchmarks, which means there is no genuine category leadership yet.
2 cited facts
6 facts cross-checked across data sources: 6 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models, openrouter_models
Qwen2.5-Coder-32B-Instruct is an AI model developed by Qwen, released 2024-11-09. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.