Qwen·released 2024-09-161 source
Not yet benchmarked
Source: models.dev, OpenRouter · 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 7.62 billion parameters, it is a mid-size model that offers a balance between computational efficiency and task performance, providing sufficient headroom for many tasks without the expense of frontier-scale models.
3 cited facts
This model is not yet benchmarked.
1 cited fact
The model does not hold the top score on any benchmark, and since avg sota gap is unknown, no average performance gap relative to state-of-the-art can be reported; this indicates no genuine category leadership.
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
Qwen2.5-7B-Instruct is an AI model developed by Qwen, released 2024-09-16. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0.175 per million input tokens, $0.7 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.