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.
Developed by Qwen and released in 2024, this model is a compact 7.62-billion-parameter model whose smaller scale favors efficiency and lower deployment cost.
3 cited facts
This model is not yet scored on any tracked benchmarks. Accordingly, it holds no current top score.
2 cited facts
With avg sota gap unknown, no average points-behind figure can be stated, so its standing has to be read from leaderboard placement rather than a disclosed gap. It holds the top score on no top scores held benchmarks, which means there is no category leadership 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
Qwen2.5-7B-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.