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 large, 30.53-billion-parameter system. That scale implies more capability headroom than compact alternatives, but also greater serving cost and less efficiency at the small end.
3 cited facts
This model is not yet benchmarked, as it is scored on zero tracked benchmarks. It holds no current top score.
2 cited facts
The average SOTA gap is unknown, and this model holds the top score on 0 benchmarks, which means there is no demonstrated 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-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.