Qwen·released 2024-09-171 source
Not yet benchmarked
Source: models.dev · See every model’s pricing →
Claims drawn from cited facts, not live model generation.
This model was developed by Qwen and released in 2024, with 32.76 billion parameters placing it at a large scale. That scale buys more headroom for capability than compact alternatives, at the cost of heavier compute and higher serving expense.
4 cited facts
This model is not yet benchmarked, as it is currently scored on zero tracked benchmarks. With no benchmark coverage in place, it holds no current top score.
3 cited facts
The average gap to the best reported score is unknown, so no points-behind figure can be stated for this model. It holds the top score on none of its benchmarks (sota leader count of 0), which means there is no category leadership established here 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, modelsdev_models
Qwen2.5-32B-Instruct is an AI model developed by Qwen, released 2024-09-17. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0.7 per million input tokens, $2.8 per million output tokens. See the pricing block for the full breakdown.