Models / Qwen/ Qwen3.8 Max

Qwen3.8 Max

Qwen · released Aug 3, 2026

Input: text, images and video. Output: text.InputOutput
Type
Closed
Input
None held
Output
None held
Cached
None held

We don't hold a list price for this model yet · hosted only — we have no record of published weights

Our take

Written Sep 29, 2026

Qwen3.8 Max is a hosted-only model released in August 2026, with no download listed and no licence terms disclosed. Its strongest measured showing is on web-app building tasks, where it places 6th of 95 on Arena Code (WebDev) as of 25 Sep 2026, while tool use inside an agent loop is a clear weak spot.

Who should pick it

Reach for it when you are building or prototyping web applications, or for creative writing and general chat, where it places 12th of 168 on Arena Creative Writing as of 25 Sep 2026. It also takes images and video alongside text, so a screenshot or clip does not have to be described in words first. Skip it if you need reliable tool calling inside an agent loop, or if you need disclosed licence terms before you build on it.

The case for it

  • Places 6th of 95 on Arena Code (WebDev) as of 25 Sep 2026, a board scored from human votes on web-app building tasks, so it is the one to start with if you are prototyping a web app.
  • Places 12th of 168 on Arena Creative Writing and 17th of 168 on Arena Text (overall) as of 25 Sep 2026, both boards recording which answer people preferred rather than whether it was correct.
  • LiveBench Mathematics scores 91.31% on competition and olympiad maths tasks, so maths-heavy work is a reasonable place to trial it.
  • Text, image and video go into the same request, so a screenshot or a clip does not have to be described in words first.

The case against it

  • Places 48th of 55 on Arena Agent · Tool use as of 25 Sep 2026, a board measuring whether the model calls the right tool and does not invent one, so keep it out of agent loops that depend on tool calling.
  • Coding is uneven: 6th of 95 on Arena Code (WebDev) as of 25 Sep 2026 but 26th of 168 on Arena Coding as of 25 Sep 2026 and 43rd of 58 on LiveBench Coding as of 25 Jun 2026, so set-piece code generation is weaker than web-app building.
  • No licence terms are disclosed, so what you may do with its output is unverified.
00

How good is it?

A closed text model for everyday questions, drafting and coding, though it is weaker at calling tools.

Good at
  • answering everyday questionsArena Text (overall) · 17th of 168
  • drafting and editing textArena Creative Writing · 12th of 168
  • writing and completing codeArena Coding · 26th of 168
Less good at
  • calling tools to carry out requestsArena Agent · Tool use · 48th of 55

EverydayGeneral questions and everyday reasoning

4 of 5

Arena Text (overall)17th of 168 · 1479

Arena Hard Prompts 21st of 168Arena Maths 15th of 163LiveBench Data Analysis 15th of 58LiveBench Reasoning 19th of 58LiveBench Mathematics 23rd of 58

CodingWriting and fixing code on its own

4 of 5

Arena Coding26th of 168 · 1520

Arena Code (WebDev) 6th of 95LiveBench Coding 43rd of 58

AgenticPlanning, calling tools, staying on task

2.5 of 5

Arena Agent18th of 55 · 0.028

LiveBench Agentic Coding 6th of 58

WritingDrafting and rewriting prose

4 of 5

Arena Creative Writing12th of 168 · 1467

LiveBench Language 29th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one48th of 55
Steerabilitydoes what it was asked, and changes course when told18th of 55
Recoverygets back on track after a command fails22nd of 55
Task outcomefinishes what the session set out to do15th of 55

Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.

Other boards it appears on
Arena Instruction Following 24th of 168LiveBench Instruction Following 11th of 58LiveBench 13th of 58Arena Agent · Task outcome 15th of 55Arena Agent · Steerability 18th of 55Arena Agent · Recovery 22nd of 55Arena Agent · Tool use 48th of 55

Boards this model appears on that none of the ratings above are built on.

Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
78.46source ↗
64.65source ↗
72.87source ↗
78.41source ↗
79.69source ↗
91.31source ↗
88.21source ↗
0.028source ↗
0.028source ↗
0.027source ↗
0.056source ↗
−0.011source ↗
1520source ↗
1467source ↗
1501source ↗
1495source ↗
1479source ↗
1672source ↗
01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

Novita AI, direct

Cheapest of the 3 listings we can compare like for like — at 1M of context, out of 4 in the table below. One cheaper row there is outside that comparison: a different context length.

per 1M tokens
$2.00 in / $6.00 out
Context served
1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
DeepInfraDirect$1.65 / $4.95checked 4 hours ago256Knot measuredUnknownUnknownUnknown
OpenRouterOpenRouter's own listing$2.00 / $6.00checked 4 hours ago1Mnot measuredUnknownUnknownUnknown
Novita AIDirect$2.00 / $6.00checked 4 hours ago1Mnot measuredUnknownUnknownUnknown
Alibaba CloudThrough OpenRouter$2.00 / $6.00checked 4 hours ago1M131K max reply34 tok/sNoYesunknown periodUnknown

Across the 4 listings we hold: 1 says it does not train on prompts, 0 say they do and 3 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
DeepInfraDirect
OpenRouterOpenRouter's own listing✓✓✓
Novita AIDirect
Alibaba CloudThrough OpenRouter✓✓✓

Tool calling: 2 of 4 listings say yes, 2 publish no parameter list. JSON output: 2 of 4 listings say yes, 2 publish no parameter list. Strict schema: 2 of 4 listings say yes, 2 publish no parameter list.

02

Models people weigh against Qwen3.8 Max

03

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 0.028 on Arena Agent
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.028 on Arena Agent · Recovery
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.027 on Arena Agent · Steerability
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.056 on Arena Agent · Task outcome
What movedleaderboard
Sep 25, 2026BenchmarkScored −0.011 on Arena Agent · Tool use
What movedleaderboard
Sep 25, 2026BenchmarkScored 1520 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1467 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1501 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1472 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1495 on Arena Maths
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • 2 of 4 listings publish no parameter list, so what their API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 3 of 4 listings do not say whether they train on prompts.
  • We don't hold a list price for this model yet — the gap is ours, not the lab's.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and video in, text out
Catalogue slug
qwen-qwen3-8-max

Machine-readable model card (omc.json) →

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