Qwen3.8-Max
01
Snapshot
Overall
82
rank #4 of 22
Coding
77
rank #6 of 22
Multimodal
92
rank #2 of 22
Input / Output
$2.5 / $7.5
USD per 1M tokens
Context
1M
usable recall 95
Speed
~55 tok/s
TTFT 0.6s
Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.
02
Specs & pricing
Every tracked field. List API prices in USD per 1M tokens; verify current vendor pricing before purchase.
| Vendor | Alibaba (CN) |
| Released / current | 2026.07 |
| Licensing | Closed / managed API |
| Context window | 1M |
| Max output | 128K |
| Effective-context score | 95 |
| Input / output price | $2.5 / $7.5 per 1M tokens |
| Cache discount | Prompt cache 80% off |
| Free tier | Free credits for new Alibaba Cloud Bailiang users |
| Speed / TTFT | ~55 tok/s / 0.6s |
| Function calling | 88 |
| Refusal rate | ~10% |
| English / Chinese | 78 / 98 |
| Modalities | text, image |
| Fine-tuning | Yes |
| Private deployment | Yes (enterprise) |
| SOC2 / no-train | no / yes |
03
Strengths & watch-outs
Strengths
- Top-tier Chinese
- Balanced multimodal
- Alibaba Cloud ecosystem
- Good value
Watch-outs
- Average English reasoning
- Restricted international access
04
Where it ranks among 22 models
Overall 82/100 (#4), coding 77 (#6), multimodal 92 (#2). See the full boards and side-by-side compare on the leaderboard.
05
Pricing in practice
Illustrative monthly bill for 100M input + 30M output tokens: $475 at list; about $295 with 90% of inputs cache-hit. Your mix and cache-hit ratio change this.
Illustrative model using public list rates before any enterprise agreement; cache discount: Prompt cache 80% off.
06
Frequently asked questions
How much does Qwen3.8-Max cost?
List API pricing is $2.5 input and $7.5 output per 1M tokens. Prompt cache 80% off. Free credits for new Alibaba Cloud Bailiang users
What is Qwen3.8-Max's context window, and is it usable end to end?
It advertises a 1M window with 128K max output; its effective-context score is 95/100, which is the better predictor of whether long-document details are actually retained.
Is Qwen3.8-Max good for coding?
Its coding aggregate is 77/100, rank #6 of 22. It is a strong choice for most product engineering.
Can I self-host Qwen3.8-Max?
No. It is a closed managed API (private deployment may be negotiated for enterprise; there is no weights download.
How strong is it in Chinese and on multimodal inputs?
Chinese score is 98 versus English 78; multimodal aggregate is 92/100 (rank #2), accepting text, image.