Qwen3-4B-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 62.00 score on GPQA Diamond.
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 | $0.420/ 1M |
Benchmark Results
Qwen3-4B-2507 currently shows benchmark results led by GPQA Diamond (142 / 187, score 62), AIME2025 (90 / 107, score 47.40), LiveCodeBench (108 / 123, score 35.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
Qwen3-4B-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 62.00 score on GPQA Diamond.
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