Qwen3.8-Max at a glance.
From Alibaba (Qwen)'s own pages, read Oct 20, 2026, so company-reported. A token is a word or part of a word. Prices can change; check the maker's page before you build on them.
- Made by
- Alibaba (Qwen)Based in China
- Released
- Sep 2, 2026Alibaba Cloud Model Studio: qwen3.8-max Model Info
- What it is for
- “A 2.4-trillion-parameter MoE flagship with a major leap in coding and office productivity”Alibaba Cloud Model Studio: qwen3.8-max Model Info, Oct 11, 2026 · in Alibaba (Qwen)'s words
- Reads at once
- 1M tokensIts context window: how much text it can take in one go
- Takes in
- text, image, video
- Download
- No, online only
- Size
- 2.4T (MoE) parameters, 95B activeHugging Face model card Qwen/Qwen3.8-2.4T-A95B, Oct 20, 2026
$2per million tokens in$6per million tokens out
Singapore (international) deployment prices. Implicit cache input $0.25; explicit cache creation $2.50, explicit cache read $0.17. No input-length tiers listed on this page.
Alibaba Cloud Model Studio: qwen3.8-max Model Info, Oct 11, 2026 · company-reported
Where it ranks.
Its position on each of the 21 tests the models page uses, by testers other than the maker. Epoch AI's and Vectara's scores are shown under their open licenses; for LMArena, Scale and Vals we give the position and link to their own leaderboard. Each list is a snapshot with its date.
| Test | Rank | Score |
|---|---|---|
| Epoch Capabilities IndexEpoch AI, Oct 20, 2026 | #20 | 156.9range 155.07 to 159.09 |
| Vals IndexVals AI, Oct 19, 2026 | Not in the top 20 |
| Test | Rank | Score |
|---|---|---|
| LMArena WebDevLMArena, Oct 19, 2026 | #11 | On LMArena |
| SWE-Bench ProScale AI, Sep 22, 2026 | Not in the top 16 | |
| Vibe Code BenchVals AI, Oct 18, 2026 | Not in the top 20 | |
| LMArena coding chatsLMArena, Oct 15, 2026 | Not in the top 20 |
| Test | Rank | Score |
|---|---|---|
| LMArena textLMArena, Oct 15, 2026 | Not in the top 20 | |
| LMArena creative writingLMArena, Oct 15, 2026 | #19 | On LMArena |
| MultiChallengeScale AI, Feb 3, 2026 | Not in the top 15 |
| Test | Rank | Score |
|---|---|---|
| LMArena Agent ArenaLMArena, Oct 19, 2026 | Not in the top 20 | |
| Remote Labor IndexScale AI | Not in the top 16 | |
| Terminal-Bench 4.0Vals AI, Oct 19, 2026 | #16 | On Vals AI |
| CUA-bench (games)Vals AI, Oct 13, 2026 | Not in the top 9 |
| Test | Rank | Score |
|---|---|---|
| LMArena mathLMArena, Oct 15, 2026 | #18 | On LMArena |
| Humanity's Last ExamScale AI | Not in the top 17 | |
| ProofBenchVals AI, Oct 12, 2026 | Not in the top 20 |
| Test | Rank | Score |
|---|---|---|
| LMArena visionLMArena, Oct 19, 2026 | #2 | On LMArena |
| LMArena documentsLMArena, Sep 13, 2026 | Not in the top 20 |
| Test | Rank | Score |
|---|---|---|
| GPQA DiamondVals AI, Sep 1, 2026 | #6 | On Vals AI |
| MMMU ProVals AI, Sep 1, 2026 | #12 | On Vals AI |
| Test | Rank | Score |
|---|---|---|
| Vectara hallucination testVectara, Oct 16, 2026 | Not in our copy of the list |
“Not in the top” means it isn't among the models in our copy of that list, which runs to the position shown; it may not have been tested. Vectara's test ranks by how rarely a model adds facts, so lower is better. Positions can be shared when scores tie. Epoch's range is its margin of uncertainty. Epoch AI and Vectara data: CC BY 4.0 and Apache-2.0.
Our note: Release date is the date in the first snapshot's alias; the base model's release date is not stated. The API model is closed, but its base weights are open: the Hugging Face card for Qwen3.8-2.4T-A95B says Qwen3.8-Max is 'the official version based on Qwen3.8-2.4T-A95B' with extras such as vision input. Max input 991,808 tokens; max output 131,072.