Qwen4-Max vs Qwen 3.8: What Changed and What You Can't Compare Yet

Qwen4-Max is a preview with no benchmarks, context length or per-token price yet; Qwen3.8-Max is a released model at $2/$6 per 1M tokens. Here's what you can compare today and how to test both yourself.

INEZA Felin-Michel

INEZA Felin-Michel

11 November 2026

Qwen4-Max vs Qwen 3.8: What Changed and What You Can't Compare Yet

Apidog for Enterprise

On-Premises Deploy

SSO & RBAC

SOC 2 Compliant

Explore Apidog Enterprise

Qwen4-Max vs Qwen 3.8 comes down to this: Qwen4-Max is a preview you can only use through Alibaba’s Token Plan and its own apps, with no benchmarks, context length or per-token price published. Qwen3.8-Max is a released model with a public API at $2/$6 per million tokens, a 1M-token context and a 131K output limit. Pick Qwen 3.8 for production. Test Qwen4-Max on your own work.

That’s the picture on November 11, 2026, the day Alibaba’s Qwen team put Qwen4-Max into preview. Below: what’s new, what you can verify, what you can’t yet, and a hands-on test. New to either model? Start with what Qwen4-Max is and what Qwen 3.8 is.

Qwen4-Max vs Qwen 3.8 at a glance

Every row comes from Alibaba’s own pages, checked November 11, 2026.

Qwen4-Max (preview) Qwen3.8-Max
Status Preview, announced Nov 11, 2026 Released, generally available since August 2026
Model ID qwen4-max-preview (Token Plan) qwen3.8-max
Pay-per-token API Not published Yes, OpenAI- and Anthropic-compatible
Per-token price Not published $2 input / $6 output per 1M tokens
Context window Not published 1M tokens
Max output Not published (Qwen Code default: 32,768) 131K tokens
Inputs Text and images (Token Plan tags) Text, images and video
Parameters Not published 2.4T total, Mixture-of-Experts
Official benchmarks None Vendor table published at launch
On Token Plan Yes, “Limited-Time 80% Off” Yes, “40% Off Nights”

Sources: the Qwen3.8-Max model page and the Token Plan pricing page. Qwen4-Max has no model page yet; its URL returned a 404 when we checked.

What Alibaba says changed in Qwen4-Max

The announcement on X opens with “Qwen4 is coming” and lists four improvements. These are the Qwen team’s claims, not measured results:

  1. Deeper knowledge. Better answers on specialist topics.
  2. Richer world understanding. Better reasoning about real-world context.
  3. Stronger coding and agentic capabilities. Better planning, tool use and multi-step work.
  4. Built for real-world tasks. The post names “complex coding and knowledge work,” “front-end builds” and “professional software workflows.”

Notice how close that is to Qwen 3.8’s own pitch. The Qwen3.8-Max model page already describes “a comprehensive leap in coding and professional work” and autonomous projects “spanning 10+ days.” The direction hasn’t changed; Qwen4-Max claims to go further down the same road. The post closes with “Put it to the test on a real problem,” which is fair, because no spec sheet exists yet.

What you can actually compare today

Five differences are verifiable today.

1. Release stage. Qwen3.8-Max is a released model with documented rate limits (2,000,000 tokens per minute on its model page). Qwen4-Max is a preview. Its behavior, limits or ID can change before general release.

2. How you call it. Qwen 3.8 runs on Qwen Cloud’s standard pay-as-you-go API, so you can put it behind a production backend. Qwen4-Max runs only through Token Plan endpoints and Alibaba’s apps. The Token Plan FAQ says the Individual plan is for “personal interactive development through designated tools” and bans production automation, batch scripts and background scheduled tasks.

3. Output length in practice. Qwen3.8-Max lists a 131K max output. For Qwen4-Max, the only number on record is a client default: the Qwen Code setup guide says qwen4-max-preview defaults to a 32,768-token output limit, which you can raise with generationConfig.samplingParams.max_tokens. That’s a tool setting, not a model ceiling.

4. Input types. Token Plan tags Qwen4-Max with Text Generation, Reasoning Model and Visual Understanding. Qwen3.8-Max’s model page lists text, image and video input.

5. API features. Qwen3.8-Max documents function calling, structured outputs, context caching, batch files and fine-tuning. None of that is documented for Qwen4-Max yet.

Comparison diagram: Qwen3.8-Max as a released model with a public API, published price, 1M context and benchmarks, beside Qwen4-Max as a preview reached only through Token Plan and Qwen apps, with benchmarks, context and price marked not published

What you can’t compare yet

Four comparisons people will want aren’t possible on November 11, 2026.

Treat any article that fills these cells as speculation. For access details, see how to use Qwen4-Max.

Access and pricing: Qwen4-Max vs Qwen 3.8

Token Plan is the one plan that carries both models. On November 11, 2026, its Singapore-region page showed these Individual monthly prices in US dollars:

Plan Event price List price Credits per month Concurrent agents
Lite $3.00 $8.00 20,000 1-2
Essential $5.00 $16.00 45,000 2-3
Standard $18.00 $25.00 80,000 3-4
Pro $43.00 $51.00 200,000 6-8

The event price is for new customers, and the page says the final price is whatever checkout shows after login. Both models draw from the same Credit pool. qwen4-max-preview carries a “Limited-Time 80% Off” tag, and qwen3.8-max carries “40% Off Nights.”

Qwen 3.8 has a full pay-as-you-go price sheet: $2 input, $6 output, $0.25 for implicit cache hits, and $1 / $3 for batch files, per million tokens. For the full Qwen 3.8 cost math, read our Qwen 3.8 API guide.

For a backend that calls a model, Qwen 3.8 is the only option of the two. For you coding with an agent, Token Plan lets you try both on one subscription.

Run your own Qwen4-Max vs Qwen 3.8 test

With no official benchmark, your own test is the best evidence. API work fits well, because an endpoint either passes its tests or it doesn’t.

The Qwen Code guide’s sample config already lists both models on the same Token Plan endpoint, so switching between them is one menu choice:

{
  "$version": 4,
  "env": { "QWENCLOUD_TOKEN_PLAN_API_KEY": "YOUR_API_KEY" },
  "modelProviders": {
    "openai": [
      { "id": "qwen4-max-preview", "baseUrl": "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1", "envKey": "QWENCLOUD_TOKEN_PLAN_API_KEY" },
      { "id": "qwen3.8-max", "baseUrl": "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1", "envKey": "QWENCLOUD_TOKEN_PLAN_API_KEY" }
    ]
  }
}

Put that in ~/.qwen/settings.json. Then set up the fair test:

  1. Write the contract once. Create one openapi.json for a small API, for example POST /orders and GET /orders/{id} with validation and auth rules. Neither model writes the spec, so neither model grades its own homework.
  2. Make two empty folders, build-qwen4 and build-qwen38, each with a copy of the spec.
  3. Send the identical build prompt in each folder, with qwen4-max-preview selected in one and qwen3.8-max in the other: “Implement the API in openapi.json with Express. Run it on port 3001 (or 3002). Don’t change the spec.”
  4. Record the basics: time to a running server, files written, and whether you had to step in.

Then test both builds against the same suite. That’s where Apidog CLI comes in.

Score both builds with Apidog CLI

Your coding agent drives Apidog CLI: it imports the shared spec, creates one set of test cases from it, and runs that set against each build. Same tests, two targets, two reports.

Workflow diagram: one OpenAPI spec feeds two builds, one written by qwen4-max-preview on port 3001 and one by qwen3.8-max on port 3002; Apidog CLI runs the same test cases against both environments and produces two pass or fail reports side by side

Set up Apidog CLI once

npm install -g apidog-cli@latest
apidog auth login --with-token <YOUR_APIDOG_TOKEN>
apidog skill install

apidog skill install teaches your agent the CLI. The installation guide covers tokens.

Give your agent one prompt

Any agent can referee; it doesn’t have to be a Qwen model.

Import ./openapi.json into Apidog project <projectId>. Create two environments:
qwen4 at http://localhost:3001 and qwen38 at http://localhost:3002. From the spec,
create test cases for POST /orders: 201 on a valid order, 400 on a missing
customerId, 401 without a token, plus a GET /orders/{id} 404 case. Run every case
against both environments, save JSON reports, and give me a pass/fail table per model.
Don't modify either build.

The apidog commands it runs

Every flag below comes from apidog <command> --help on Apidog CLI 2.2.12:

apidog import --project <projectId> --format openapi --file ./openapi.json
apidog environment create qwen4 --project <projectId> --base-url http://localhost:3001
apidog environment create qwen38 --project <projectId> --base-url http://localhost:3002
apidog cli-schema get test-case-create
apidog cli-schema validate test-case-create --file ./case-201.json
apidog test-case create --project <projectId> --file ./case-201.json
apidog run --test-case <caseId> --project <projectId> -e <qwen4EnvId> -r cli,json --out-file qwen4-{GENERATE_TIME}
apidog run --test-case <caseId> --project <projectId> -e <qwen38EnvId> -r cli,json --out-file qwen38-{GENERATE_TIME}

cli-schema get hands the agent the exact JSON shape for a test case, and cli-schema validate checks each file before anything is written. The agent repeats test-case create and the two apidog run lines for each case. The cli reporter prints a pass/fail summary, and json saves a report in apidog-reports, which the agent reads to build its table. Add --upload-report to view a run in the Apidog app.

What to read in the reports

Count three things per model: cases passed on the first build, fix rounds needed to reach all green, and any case where the model changed the contract instead of the code. Run the whole thing two or three times, since one run of a preview model tells you little. For more agent-driven patterns, see the Apidog CLI agent workflow and Apidog CLI in Claude Code. Apidog’s Free plan covers up to 4 users.

Which should you use today?

Match the model to the job:

Keep the model ID in one config value, so the stable Qwen4-Max ID is a one-line change. See also Qwen 3.8 for coding and our guide to the best Qwen models.

FAQ

Is Qwen4-Max better than Qwen 3.8? Alibaba says it has deeper knowledge and stronger coding and agentic skills, but it hasn’t published benchmarks. No official data proves it yet, so test both on your own task.

Can I call Qwen4-Max through the API like Qwen 3.8? Not on pay-as-you-go. Qwen4-Max is available through Token Plan endpoints with the ID qwen4-max-preview, for interactive use in coding tools. Qwen3.8-Max (qwen3.8-max) has a standard API.

Does Qwen4-Max have a 1M-token context like Qwen 3.8? Alibaba hasn’t said. Qwen3.8-Max has a documented 1M context. The 1M figure for Qwen4-Max comes from third-party reports only.

How much does Qwen4-Max cost compared with Qwen 3.8? Qwen 3.8 costs $2 input and $6 output per million tokens. Qwen4-Max has no per-token price yet. Through Token Plan, both share a Credit pool on plans from $3 (Lite event price, list $8) a month.

Should I switch my app from Qwen 3.8 to Qwen4-Max? Not yet. A preview can change without notice, and Token Plan bans production automation. Keep Qwen 3.8 in production and run Qwen4-Max side by side in development.

Explore more

Qwen4-Max Token Plan: What It Costs and Is It Worth It?

Qwen4-Max Token Plan: What It Costs and Is It Worth It?

Qwen4-Max is in preview on QwenCloud's Token Plan. Here's what each tier costs, how Credits are counted, what the 20% and 4% preview rates mean, and when the plan beats pay-per-token billing.

11 November 2026

What Is Qwen4-Max? Alibaba's New Flagship Model

What Is Qwen4-Max? Alibaba's New Flagship Model

Qwen4-Max is the first Qwen4 model, in preview since November 11, 2026. Here is what Alibaba says changed, where you can use it today, what the Token Plan allows, and what's still unknown.

11 November 2026

Google Antigravity /swarm: How Gemini 4 Carbon Runs an Agent Team

Google Antigravity /swarm: How Gemini 4 Carbon Runs an Agent Team

Google Antigravity swarm mode explained: how Gemini 4 Carbon leads a /swarm agent team, Google's demos, who has access, token costs, and testing with Apidog CLI.

11 November 2026

Practice API Design-first in Apidog

Discover an easier way to build and use APIs

Qwen4-Max vs Qwen 3.8: What Changed and What You Can't Compare Yet