qwen

Qwen: Qwen Image 3 Pro

qwen/qwen-image-3-pro

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to the OpenRouter catalog, qwen/qwen-image-3-pro is a Qwen image-generation and editing model that accepts text and image inputs and returns images. The catalog says it can render small text and details down to about 10 px and draws on broader world knowledge, but these are catalog claims rather than measured results. No independent model card was available in this source pack, and the supplied benchmark fields contain no usable scores, so output quality should be validated on the intended workload.[1]

Strengths

Accepts text and image inputs and produces images.[1]
Described as supporting both image generation and editing.[1]
Reported to render text and fine details as small as 10 px.[1]

Limitations

Only OpenRouter catalog evidence was supplied; no independent model card was available.[1]
No benchmark scores or measured performance results were included.[1]
Fidelity, editing behavior, and reliability need workload-specific validation.[1]

Where to use it

Potential fit for generating images from detailed text prompts.[1]
Potential fit for editing workflows that combine an image with instructions.[1]
Potential fit for graphics with small labels or fine details, pending validation.[1]

Sources

[1] OpenRouter catalog · Qwen: Qwen Image 3 ProSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Qwen Image 3 Pro is an image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with richer world knowledge...

Specifications

Model ID: qwen/qwen-image-3-pro
Canonical ID: qwen/qwen-image-3-pro-20260805
Creator: qwen
Added to OpenRouter: 05.08.2026
Context length: 65,536
Modality: text+image->image
Input modalities: text, image
Output modalities: image
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	input: image
Image generation	No measurement	output: image
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Alibaba	65,536	—	—	—	—	—

Provider data retrieved: 13.11.2026

No published articles identify this model yet.