Qwen·released 2025-07-311 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 mid-size system with 30.53 billion parameters. Being mid-size, this model sits between the efficiency and low cost of compact models and the greater headroom but higher expense of frontier-scale systems.
4 cited facts
This model is not yet benchmarked, so it holds no current top score.
2 cited facts
With avg sota gap unknown and sota leader count equal to 0, the model holds the top score on none of its benchmarks, meaning it has no category leadership yet.
1 cited fact
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-Coder-30B-A3B-Instruct is an AI model developed by Qwen, released 2025-07-31. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0.45 per million input tokens, $2.25 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.