qwen

Qwen: Qwen Image 2.1 Turbo

qwen/qwen-image-2.1-turbo

Our take

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

OpenRouter's catalog presents Qwen Image 2.1 Turbo as the fast, lower-cost tier of the Qwen Image 2.1 series for image generation and editing when throughput and cost matter more than peak output. Its listed modality accepts text and image inputs and produces images. The catalog also lists request controls such as seed, temperature, top_p, and output limits. No independent model card or measured benchmark evidence was available in this source pack, so quality and behavior require workload validation.[1]

Strengths

The catalog positions it as a fast, lower-cost option for workloads that prioritize throughput and price over peak output.[1]
It is listed for both image generation and editing, with text and image inputs mapped to image output.[1]
Supported request controls include seed, temperature, top_p, presence penalty, response format, and a maximum-token setting.[1]

Limitations

The supplied evidence is catalog-only, and an independent model card was not available to verify the provider's description.[1]
No measured benchmark results, comparisons, safety properties, licensing terms, or deployment requirements are established by this source.[1]

Where to use it

Potentially useful for high-volume image drafts or edits where turnaround time and request cost are primary constraints.[1]
May fit prototype pipelines that need text-plus-image input, image output, and adjustable generation controls.[1]

Sources

[1] OpenRouter catalog · Qwen: Qwen Image 2.1 TurboSources checked: Nov 13, 2026

About this model

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

Qwen Image 2.1 Turbo is the fast, lower-cost tier of the Qwen Image 2.1 series from Qwen, for image generation and editing where throughput and price matter more than peak...

Specifications

Model ID: qwen/qwen-image-2.1-turbo
Canonical ID: qwen/qwen-image-2.1-turbo-20261016
Creator: qwen
Added to OpenRouter: 16.10.2026
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.