MODEL PROFILE

Qwen-Image-Bench

阿里巴巴 · Qwen · Qwen-Image-Bench

A fine-tuned judge model for evaluating text-to-image (T2I) generation quality. Built on top of Qwen3.6-27B, it scores generated images across **5 hierarchical dimensions** using structured checklists and outputs JSON-formatted evaluation results. Q-Judger is a vision-language model fine-tuned specifically for automated evaluation of text-to-image generated images. Given a text prompt and a generated image, the model evaluates the image on fine-grained quality criteria organized in a 3-level hierarchy and outputs structured JSON scores. - **Base Model**: Qwen3.6-27B - **Task**: Image quality evaluation / judging - **Input**: Text prompt + generated image - **Output**: Structured JSON with per-dimension scores (0 = Fail, 1 = Pass, 2 = Excel, N/A) - **Thinking Mode**: Enabled — the model uses chain-of-thought reasoning before producing the final JSON output

Visual QAlicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/2 19:16:08
OVERVIEW

Model overview

A fine-tuned judge model for evaluating text-to-image (T2I) generation quality. Built on top of Qwen3.6-27B, it scores generated images across **5 hierarchical dimensions** using structured checklists and outputs JSON-formatted evaluation results. Q-Judger is a vision-language model fine-tuned specifically for automated evaluation of text-to-image generated images. Given a text prompt and a generated image, the model evaluates the image on fine-grained quality criteria organized in a 3-level hierarchy and outputs structured JSON scores. - **Base Model**: Qwen3.6-27B - **Task**: Image quality evaluation / judging - **Input**: Text prompt + generated image - **Output**: Structured JSON with per-dimension scores (0 = Fail, 1 = Pass, 2 = Excel, N/A) - **Thinking Mode**: Enabled — the model uses chain-of-thought reasoning before producing the final JSON output

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。