Qwen·released 2025-05-011 source
Not yet benchmarked
Source: models.dev, OpenRouter · See every model’s pricing →
Claims drawn from cited facts, not live model generation.
Qwen developed this model in 2025 as a mid-size, 14.77-billion-parameter system. That scale implies a practical balance: more headroom than compact models, yet less computational expense than frontier-scale systems.
4 cited facts
This model is not yet benchmarked on any tracked tasks, and consequently holds no current top score.
2 cited facts
6 facts cross-checked across data sources: 2 corroborated, 2 single-source, 2 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models, modelsdev_models, openrouter_models
Qwen3-14B is an AI model developed by Qwen, released 2025-05-01. 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 (prices disputed across sources). See the pricing block for the full breakdown.