Qwen3-30B-A3B-Instruct-2507
Qwen3-30B-A3B-Instruct-2507 is an AI model published by Alibaba, released on 2025-07-29, for Chat model, with 30.5B parameters, and 256K context length, with a 86.00 score on Creative Writing.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.500/ 1M | $3.00/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | $0.625/ 1M | $0.050/ 1M |
Benchmark Results
Qwen3-30B-A3B-2507 currently shows benchmark results led by Creative Writing (7 / 23, score 86), MMLU Pro (70 / 132, score 78.40), GPQA Diamond (118 / 187, score 70.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
3 evaluationsCoding and Software Engineer
2 evaluationsWriting and Creative Capabilities
1 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Model variants & downloads
| Variant name | Version type | Quantization | Model size | HuggingFace link |
|---|---|---|---|---|
| Qwen3-30B-A3B-Thinking-2507ℹ️ | Instruct | FP16 | 61.1 GB | Download link |
| Qwen3-30B-A3B-Instruct-2507-FP8ℹ️ | Instruct | FP8 | 31.17GB | Download link |
Publisher
Model Overview
Qwen3-30B-A3B-Instruct-2507 is an AI model published by Alibaba, released on 2025-07-29, for Chat model, with 30.5B parameters, and 256K context length, with a 86.00 score on Creative Writing.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
