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.
Developed by Qwen and released in 2025, this model is a large-scale system with 32.76 billion parameters. That scale provides ample headroom for complex reasoning but makes it more expensive to serve and less efficient on modest hardware.
3 cited facts
This model has not yet been benchmarked on any tracked evaluation. Accordingly, it holds no current top score among tracked evaluations.
2 cited facts
Because the average gap to the state of the art is not disclosed, no frontier or competitive-band reading can be given from that metric alone. With zero leaderboard top scores, the model shows no benchmark category leadership yet.
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
Qwen3-32B 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: $0.7 per million input tokens, $2.8 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.