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.
Developed by Qwen and released in 2024, this model is a large-scale system with 32.76 billion parameters, a size that buys more capability headroom at the cost of greater compute and serving expense.
3 cited facts
This model is not yet benchmarked: it is scored on zero tracked benchmarks. With no benchmark results on record, it accordingly holds no current top score.
2 cited facts
With avg sota gap unknown, the sota position can only be read from sota leader count, which is 0 — it holds the top score on none of its benchmarks. That means there is no genuine category leadership to report yet, rather than a small frontier-level gap or a wide trailing gap that an average gap figure would otherwise quantify.
4 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.