Qwen3.8 Max Preview

AlibabaKey qwen3.8-max-previewAlso reported as alibaba-token-plan-intl/qwen3.8-max-preview, qwen-cloud/qwen3.8-max-preview, alibaba-token/qwen3.8-max-preview, qwen/qwen3.8-max-preview, bailian/qwen3.8-max-preview, alibaba-token-plan/qwen3.8-max-preview, qwenwork/qwen3.8-max-preview, e1b61deb-3b95-4525-8f75-65087f0c5cfd/qwen3.8-max-preview

Rank
#307
by active users
Active users
2
NewNew: no active users in the previous 30 days, 2 now. vs previous 30 days
Adoption
0.2%
of 967 accounts
Tokens
88M
cache included
Est. cost
—
at public list prices
First seen
Jul 16, 2026
in any submission

Oct 15 – Nov 13, 2026 (UTC)967 accounts100% of tokens from an identified modelData through Nov 13, 2026, 07:02 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 13, 2026

Daily active users for Qwen3.8 Max Preview, Oct 15, 2026 to Nov 13, 2026. Peak 1. Use the left and right arrow keys to read each day.110
Show daily values
Daily active users and tokens for Qwen3.8 Max Preview
Date (UTC)Active usersTokens
Oct 15, 202600
Oct 16, 202600
Oct 17, 202600
Oct 18, 202600
Oct 19, 202600
Oct 20, 202600
Oct 21, 202600
Oct 22, 202600
Oct 23, 202600
Oct 24, 202600
Oct 25, 202600
Oct 26, 20261288K
Oct 27, 2026187.7M
Oct 28, 202600
Oct 29, 202600
Oct 30, 202600
Oct 31, 202600
Nov 1, 202600
Nov 2, 202600
Nov 3, 202600
Nov 4, 202600
Nov 5, 202600
Nov 6, 202600
Nov 7, 202600
Nov 8, 202600
Nov 9, 202600
Nov 10, 202600
Nov 11, 202600
Nov 12, 202600
Nov 13, 202600

Token mix

How the 88M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input1.2%
  • Output<0.1%
  • Cache read98%
  • Cache write0%
  • Reasoning0.2%

Agents that carry Qwen3.8 Max Preview

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. OpenCode100% of this model's tokens1active users
  2. Codex CLI0.3% of this model's tokens1active users

Benchmarks

The best result for Qwen3.8 Max Preview in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks

No benchmark that Tokscale tracks has a result for Qwen3.8 Max Preview yet.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Vercel AI Gateway is the reference price for the estimates below. It is the first provider listed; models.dev lists no price from the lab's own API.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.29
Est. per 1M tokens
98% cache reads
At the community mix
$0.33
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$3
Per 1M tokens at list prices
No cache

Cache reads were 98% of Qwen3.8 Max Preview tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • Vercel AI Gateway list prices per 1M tokens: input $2, output $6, cache read $0.25.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • Vercel AI GatewayReferencealibaba/qwen3.8-max
    $2 input per 1M tokens$6 output per 1M tokens$0.25 cache read per 1M tokensCache write not listed262K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
262K tokens
Max output
128K tokens
Input
Text, Image
Output
Text
Knowledge cutoff
— not listed
Release date
Jul 19, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Qwen3.8 Max Preview most in this period, by tokens. Hidden accounts are never listed.

  1. 1Matt Mao@ugandasniper87.7Mtokens—est. cost1active daysno price · 1 active days
  2. 2Mautkis@Mautkis288Ktokens—est. cost1active daysno price · 1 active days

More from Alibaba

Other Alibaba models in the same period, by active users.

  1. Qwen3.8 Max1.8% adoption17active users
  2. Qwen3.8 Flash1.8% adoption17active users
  3. Qwen3.8 27B0.8% adoption8active users
  4. Qwen3.8 Flash Next0.6% adoption6active users
  5. Qwen3 Coder Next0.4% adoption4active users
  6. Qwen3.5 9B0.3% adoption3active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count