Qwen3.6 Max Preview
Qwen · released Apr 27, 2026
- 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
The case for it
- The request capacity takes long documents without splitting them up first, though reliable recall across all of it is unverified in our data.
- Measured on several arena boards: 38th of 168 on Arena Text (overall) and 35th of 168 on Arena Coding as of 25 Sep 2026, which are human preference votes rather than correctness checks.
The case against it
- We list no download for it, so using it means choosing a host, and both listed hosts charge the same rate.
- Mid-field on the boards we hold: 42nd of 168 on Arena Instruction Following as of 25 Sep 2026, a preference vote rather than a measure of correctness.
- The facts carry no licence, so we cannot say what you are allowed to do with it.
How good is it?
A closed text model for everyday questions, drafting and coding, with no measured weak spots on this board.
- answering everyday questionsArena Text (overall) · 38th of 168
- drafting and editing textArena Creative Writing · 38th of 168
- writing and completing codeArena Coding · 35th of 168
EverydayGeneral questions and everyday reasoning
Arena Text (overall)38th of 168 · 1460
CodingWriting and fixing code on its own
Arena Coding35th of 168 · 1512
AgenticPlanning, calling tools, staying on task
Not yet scored on Arena Agent.
WritingDrafting and rewriting prose
Arena Creative Writing38th of 168 · 1436
Arena Creative Writing is the only board that has scored it for this.
These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done.
Every published score for this model7 scoresEvery figure we hold, from 7 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Where to rent it
Prices checked between 56 min and 58 min ago — each listing carries its own date.
- per 1M tokens
- $1.03 in / $6.16 out
- Context served
- 262K
- Throughput
- ~62 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $1.03 / $6.16checked 58 min ago | 262K | not measured | Unknown | Unknown | Unknown |
| Alibaba CloudThrough OpenRouter | $1.03 / $6.16checked 56 min ago | 262K66K max reply | 62 tok/s | No | Yesunknown period | Unknown |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does 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.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Alibaba CloudThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
input −1% ($1.04 → $1.03 per 1M tokens), output −1% ($6.24 → $6.16 per 1M tokens)What moved
input −1% ($1.04 → $1.03 per 1M tokens), output −1% ($6.24 → $6.16 per 1M tokens), cache write −1% ($1.300 → $1.284 per 1M tokens)What moved
first indexed by our pipelineEach 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
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We don't hold a list price for this model yet — the gap is ours, not the lab's.
- We hold no cached-input rate for any of its listings.
- We hold no batch or off-peak rate for any of its listings.
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 in, text out
- Catalogue slug
- qwen-qwen3-6-max-preview