Qwen3-4B-Thinking-2507
Qwen3-4B-Thinking-2507 is an AI model published by Alibaba, released on 2025-08-06, for Chat model, with 4B parameters, and 256K context length, requiring about 8.05GB storage, with a 81.30 score on AIME2025.
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 | - | $0.110/ 1M | $1.26/ 1M |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
Qwen3-4B-Thinking-2507 currently shows benchmark results led by AIME2025 (55 / 106, score 81.30), LiveCodeBench (87 / 127, score 55.20), GPQA Diamond (210 / 270, score 65.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Publisher
Model Overview
Qwen3-4B-Thinking-2507 is an AI model published by Alibaba, released on 2025-08-06, for Chat model, with 4B parameters, and 256K context length, requiring about 8.05GB storage, with a 81.30 score on AIME2025.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
