qwen

Qwen: Qwen3.7 Flash

qwen/qwen3.7-flash

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/qwen3.7-flash is Alibaba's Qwen3.7 Flash, a vision-language reasoning model that accepts text, image, and video input and returns text. The catalog reports a one-million-token context window, optional reasoning enabled by default, and support for tools, structured responses, seed, and sampling controls. It describes the model as suited to multimodal agents, visual coding, search, and computer interaction. These are catalog-reported capabilities rather than measured results; the source pack contains no independent model card or benchmark evidence, so workload-specific validation remains necessary.[1]

Strengths

The catalog lists text, image, and video inputs with text output for multimodal applications.[1]
A one-million-token context window is reported, alongside reasoning that is optional but enabled by default.[1]
Tool calling, tool choice, structured responses, seed, and sampling parameters are listed for controlled integrations.[1]

Limitations

Evidence is limited to the OpenRouter catalog; an independent model card was not available in this source pack.[1]
No benchmark results are supplied, so measured quality, speed, and reliability remain unknown.[1]
License terms, knowledge cutoff, and hardware requirements are not stated; validate the model on the intended workload.[1]

Where to use it

Evaluate for multimodal agents that combine text, images, video, and tool calls.[1]
Consider for visual coding or computer-interaction prototypes, the catalog's stated target areas.[1]
Pilot for search workflows that may benefit from long context, after task-level validation.[1]

Sources

[1] OpenRouter catalog · Qwen: Qwen3.7 FlashSources checked: Nov 13, 2026

About this model

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

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

Specifications

Model ID: qwen/qwen3.7-flash
Canonical ID: qwen/qwen3.7-flash-20260727
Creator: qwen
Added to OpenRouter: 27.07.2026
Context length: 1,000,000
Modality: text+image+video->text
Input modalities: text, image, video
Output modalities: text
Token pricing: USD per 1M tokens: in $0.030 / out $0.130
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	reasoning: optional · parameters: include_reasoning, reasoning
Coding	No measurement	—
Agents	No measurement	parameters: tool_choice, tools
Writing	No measurement	output: text
Reasoning	No measurement	reasoning: optional · parameters: include_reasoning, reasoning
Document analysis	No measurement	—
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	input: video
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	1,000,000	$0.030	$0.130	—	—	100%
Alibaba	1,000,000	$0.034	$0.150	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.