qwen
Qwen: Qwen3.8 Max (0902) (batch)
qwen/qwen3.8-max-0902:batch
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:batch as a batch variant of an Alibaba Qwen3.8 Max snapshot using a 2.4-trillion-parameter mixture-of-experts architecture. It reports text, image, and video inputs, text output, a 262144-token context, mandatory reasoning with configurable effort, and support for tools, structured outputs, and common sampling controls. These are catalog-reported capabilities, while included benchmark figures are measurements rather than guarantees. No independent model card was available in this source pack; validate behavior, latency, and workload fit before adoption.[1]
Strengths
Limitations
- Only OpenRouter catalog evidence was supplied; no independent model card was available, and benchmark measurements lack methodology, so validate target workloads.[1]
- Reasoning is mandatory and enabled by default on this listing; it should not be treated as an optional feature.[1]
- Text is the only listed output modality; image and video support applies to inputs.[1]
Where to use it
- Bulk extraction, classification, or summarization across text and supported visual inputs when batch processing semantics fit the pipeline.[1]
- Long-context analysis of large documents or multimodal prompts, contingent on measured quality and operational fit.[1]
- Tool-using or structured-output workflows that need explicit reasoning controls, after application-level testing.[1]
Sources
- [1] OpenRouter catalog · Qwen: Qwen3.8 Max (0902) (batch)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:batch
- Canonical ID
- qwen/qwen3.8-max-20260902
- Creator
- qwen
- Added to OpenRouter
- 03.09.2026
- Context length
- 262,144
- Modality
- text+image+video->text
- Input modalities
- text, image, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.15 / out $3.45
- 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 | 262,144 | $1.15 | $3.45 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.