Qwen·released 2025-04-271 source
Not yet benchmarked
Source: models.dev, OpenRouter · See every model’s pricing →
Claims drawn from cited facts, not live model generation.
This model, developed by Qwen, is a mid-size 8.19-billion-parameter model released in 2025. That scale implies efficient deployment and lower operating cost, though with less headroom for complex tasks than larger frontier-scale models.
4 cited facts
This model is not yet benchmarked on any tracked evaluation, and it holds no current top score.
2 cited facts
This model does not hold the top score on any benchmark in the tracked set, so it has no current category leadership. Its average gap to the state of the art is not known, so no frontier, competitive, or trailing band can be assigned.
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
Qwen3-8B is an AI model developed by Qwen, released 2025-04-27. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0.18 per million input tokens, $0.7 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.