# qwen3.8-max-0902 decision evidence

Qwen3.8-Max-0902 is the upgraded 2026-09-02 snapshot of Alibaba's Qwen3.8-Max API model, with the same 1,000,000-token context window, 131,072 output tokens and text, image and video input, and thinking on by default. On AI Coding Daily's coding leaderboard it scored 48.70, above the original qwen3.8-max, and kzhu's test gave it 46–47/60 with weak SVG animations.

Verified: 2026-09-24; snapshot: 2026-09-25.

## Published model card

As the vendor publishes it for the model and its weights; these are not the limits of a hosted endpoint.

- Context window: 1,000,000 tokens (991,808 input; 983,616 in thinking mode)
- Maximum output: 131,072 tokens in both modes; the chain of thought is capped separately at 262,144
- Modalities: Text, image and video input; text output
- Parameter count: Not stated for the snapshot; Qwen3.8-Max is 2.4T total, 95B active

## Open weights and deployment

Status: Unavailable. No weights are published for the 0902 snapshot. Qwen's model card calls Qwen3.8-Max the official version based on Qwen3.8-2.4T-A95B, whose weights are open under the Qwen3.8-Max License; that checkpoint is text-only and always thinks, and the licence requires a separate licence before commercial use by model-as-a-service or AI work-assistant businesses with revenue above US$50 million over 12 months (relaying requests to models hosted by others is excluded).

Open-weight alternatives: [glm-5.3](https://dash.chinaapi.ai/models/glm-5.3/deploy), [hy4-preview](https://dash.chinaapi.ai/models/hy4-preview/deploy)

## Real-task reports

### [AI Coding Daily LLM Coding Leaderboard](https://aicodingdaily.com/leaderboard)

By [AI Coding Daily](https://www.youtube.com/@AICodingDaily) (@AICodingDaily). Coding-model testing channel and website that runs its own leaderboard and sells premium tutorials and channel advertising

Published: 2026-09-24; retrieved: 2026-09-24; verified: 2026-09-24.

- Task: Implement and harden production-shaped projects in several stacks, including a Laravel app, a Go service and a React/TypeScript app, from the same prompts
- Method: Each model and reasoning setting is a separate row run in a coding harness, with the average cost and time per run. Code quality is graded by a judge model against a published 100-point rubric and scaled to 20 points per project; behavioural reliability runs each of four projects five times and scores the checks every attempt fails.
- Finding: Qwen 3.8 Max (0902) at high reasoning scored 48.70 ($0.40 and 11 min 49 s per run in OpenCode), 22nd of 47 rows and above the original qwen3.8-max (47.08).
- Limitation: One author's benchmark whose code-quality half is graded by a judge model; rows run in different harnesses, the page is updated as models are added (read on 2026-09-24, 47 rows), and the author sells premium tutorials and advertising.
- Points (high): 48.70
- Rank: 22 of 47

### [kzhu's six-question LLM test leaderboard](https://www.techgogogo.com/llm-benchmark/)

By [AI产品狙击手 kzhu](https://www.youtube.com/@kevinzhu9305) (@kevinzhu9305). Chinese YouTube reviewer who scores models on a six-question test and publishes every score with per-question notes

Published: 2026-09-24; retrieved: 2026-09-24; verified: 2026-09-24.

- Task: Six questions scored out of 10: constrained sentence writing, two reasoning puzzles (replaced by pelican and compound-bow SVG animations in version 2.2), a browser OS with a space shooter, a 3D racing game and a Trello-style board
- Method: Each row names the harness the model ran in (Pi, Claude Code, WorkBuddy and others) and the date; the author scores every question with a note, and warns that totals are only comparable within one test version.
- Finding: Qwen3.8 Max 0902 scored 47/60 on version 2.1 in the DeepSeek harness and 46 in Pi after re-running only the two new version-2.2 SVG questions, where the pelican flipped upside down and the bow pointed the wrong way (6 and 5).
- Limitation: One author's scores on six questions; rows use different harnesses and test versions (2.1 or 2.2), and a few rows' table total differs by one point from the author's note.
- Score: 47 / 60 (v2.1)

## Curated comparisons

- [glm-5.3 vs qwen3.8-max-0902](https://dash.chinaapi.ai/models/compare/glm-5.3-vs-qwen3.8-max-0902)
- [qwen3.8-max vs qwen3.8-max-0902](https://dash.chinaapi.ai/models/compare/qwen3.8-max-vs-qwen3.8-max-0902)

## Official sources

- [qwen3.8-max Model Info (snapshot qwen3.8-max-0902)](https://www.alibabacloud.com/help/en/model-studio/qwen3-8-max) — Alibaba Cloud Model Studio, retrieved 2026-09-24
- [Model lifecycle and updates](https://www.alibabacloud.com/help/en/model-studio/newly-released-models) — Alibaba Cloud Model Studio, retrieved 2026-09-24
- [Qwen3.8-Max-0902](https://www.qwencloud.com/models/qwen3.8-max-0902) — QwenCloud, retrieved 2026-09-24