qwen
Qwen: Qwen3.6 Flash
qwen/qwen3.6-flash
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Qwen3.6 Flash is a text-output language model in Alibaba's Qwen 3.6 series, listed in the OpenRouter catalog under the ID qwen/qwen3.6-flash. The catalog describes it as a fast, efficiency-oriented model that accepts text, image, and video input and offers a 1 million token context window. Its API listing exposes tool calling, structured outputs, and an optional reasoning parameter. Because the only evidence is a catalog entry with no independent model card or benchmark data, real-world behavior should be validated on target workloads.[1]
Strengths
- The OpenRouter catalog reports a 1 million token context window, which suits long documents and extended conversations.[1]
- Accepts text, image, and video input while producing text output, per the catalog's declared modalities.[1]
- Exposes tools, tool_choice, structured_outputs, and response_format parameters, indicating API-level support for function calling and structured responses.[1]
Limitations
- All evidence comes from a single OpenRouter catalog entry; an independent model card was not available in this source pack.[1]
- No benchmark results or quality measurements are included, so measured performance is unknown and requires workload-specific validation.[1]
- The catalog reports no knowledge cutoff date, and the labels fast and efficient are vendor characterizations rather than measured results.[1]
Where to use it
- Summarization or question answering over long documents, given the catalog-reported context window; validate latency and cost per workload.[1]
- Multimodal pipelines that ingest images or video and return text, where the declared input modalities fit the task.[1]
- Extraction or tool-using workflows built on the listed tool calling and structured output parameters, with empirical verification first.[1]
Sources
- [1] OpenRouter catalog · Qwen: Qwen3.6 FlashSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
Specifications
- Model ID
- qwen/qwen3.6-flash
- Creator
- qwen
- Added to OpenRouter
- 27.04.2026
- 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 $0.188 / out $1.13
- 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: structured_outputs, 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 | $0.188 | $1.13 | — | — | 96.67% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.