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 mid-size 14.77-billion-parameter system that trades some of the efficiency and lower cost of compact models for additional capability headroom. That scale keeps it below frontier-scale expense while offering more headroom than smaller models.
4 cited facts
This model is not yet benchmarked: it currently has no tracked benchmark scores on record.
1 cited fact
Its average gap to the state of the art is unknown, and it holds the top score on zero benchmarks, meaning there is no genuine category leadership 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
Qwen2.5-14B-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: $0.35 per million input tokens, $1.4 per million output tokens. See the pricing block for the full breakdown.