Qwen·released 2024-09-171 source
Not yet benchmarked
Source: models.dev, OpenRouter · 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 72.96 billion parameters. That size implies more headroom for complex tasks, but it also raises training and inference costs compared with smaller, more efficient alternatives.
4 cited facts
This model is not yet benchmarked on any tracked benchmarks. Accordingly, it holds no current top score.
2 cited facts
The average gap to the state of the art is not disclosed, so no points-behind figure or frontier/competitive/behind band can be stated for this model. It holds the top score on none of its benchmarks, which means there is no measured category leadership to point to yet.
2 cited facts
6 facts cross-checked across data sources: 1 corroborated, 2 single-source, 3 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models, modelsdev_models, openrouter_models
Qwen2.5-72B-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: $1.4 per million input tokens, $5.6 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.