qwen
Qwen: Qwen3.8 Flash
qwen/qwen3.8-flash
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists qwen/qwen3.8-flash as an Alibaba multimodal reasoning model accepting text, image, and video inputs and returning text, with a context window of up to one million tokens. Vendor documentation describes Qwen3.8-Flash as the official production variant based on Qwen3.8-Flash-Next, adding features such as default long context and built-in tools. These are reported capabilities, not measured results; the supplied benchmarks apply to the related Flash-Next model rather than this exact endpoint.[1][2]
Strengths
Limitations
- Evidence for this exact catalog ID is limited; the detailed supplied card concerns the related Qwen3.8-Flash-Next rather than qwen/qwen3.8-flash itself.[1][2]
- The included benchmark table measures Flash-Next, so it should not be treated as measured performance for this endpoint.[2]
- Workload testing is still needed for latency, vision and video behavior, tool reliability, and long-context quality.[1][2]
Where to use it
- Consider for long-document or codebase analysis where the reported million-token context is useful.[1]
- Potentially suitable for coding assistance and agentic workflows that use tools or structured outputs.[1]
- May fit visual tasks such as chart interpretation, desktop interaction, or long-video analysis, subject to validation.[1]
Sources
- [1] OpenRouter catalog · Qwen: Qwen3.8 FlashSources checked: Nov 13, 2026
- [2] Model documentation · Qwen: Qwen3.8 FlashSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Specifications
- Model ID
- qwen/qwen3.8-flash
- Canonical ID
- qwen/qwen3.8-flash-20260826
- Creator
- qwen
- Added to OpenRouter
- 26.08.2026
- 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 $0.150 / out $0.470
- 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 | $0.150 | $0.470 | — | — | 100% |
| Alibaba | 1,000,000 | $0.150 | $0.470 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.