qwen
Qwen: Qwen3.8 Max (0902)
qwen/qwen3.8-max-0902
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog describes qwen/qwen3.8-max-0902 as an Alibaba Qwen mixture-of-experts snapshot that accepts text, image, and video input and produces text. The listing reports a very large context window, always-on reasoning with selectable effort, tool calling, structured outputs, and common sampling controls. It also includes third-party index measurements for coding, agentic work, and general intelligence. Because this source pack contains only catalog data and no independent model card, workload-specific validation is recommended.[1]
Strengths
- Source-reported multimodal input covers text, images, and video, with text-only output.[1]
- The catalog reports a very large context window and mandatory reasoning with adjustable effort.[1]
- Tool calling, structured outputs, response formatting, and generation controls support application integration.[1]
Limitations
- Only OpenRouter catalog data was supplied; no independent model card was available. Licensing, knowledge cutoff, training details, and safety behavior remain unverified in this source pack.[1]
- Reasoning is mandatory, although its effort can be reduced; the catalog does not list a way to turn it off.[1]
- Index measurements cover coding, agentic work, and general intelligence, but they are measured scores rather than guarantees for a specific workload.[1]
Where to use it
- Candidate for evaluating multimodal assistants that answer questions or summarize image and video material in text.[1]
- Potentially suitable for long-context document analysis or extended conversations, subject to latency and cost testing.[1]
- Worth testing for coding or agent prototypes that need tool use, structured output, and tunable reasoning effort.[1]
Sources
- [1] OpenRouter catalog · Qwen: Qwen3.8 Max (0902)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
Specifications
- Model ID
- qwen/qwen3.8-max-0902
- Canonical ID
- qwen/qwen3.8-max-20260902
- Creator
- qwen
- Added to OpenRouter
- 03.09.2026
- 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 $2 / out $6
- 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 | BB — next 30% of the cohort | reasoning: mandatory · default xhigh · efforts: xhigh, high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | SS — top 10% of the cohort | — |
| Agents | SS — top 10% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default xhigh · efforts: xhigh, high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort |
| 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 33.7 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Coding index | 76.2 | SS — top 10% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 56 | SS — top 10% of the cohort | 13.11.2026 |
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 | $2 | $6 | — | — | 100% |
| Alibaba | 1,000,000 | $2 | $6 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.