Qwen3 Max Thinking
Qwen · released Feb 9, 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
Written Sep 4, 2026Qwen3 Max Thinking is a hosted-only reasoning model from Alibaba with a 262,144-token request limit, built for long-document analysis and step-by-step reasoning. It is text-only and carries a premium price with no measured quality data to show for it.
Pick this when you need an extremely long request limit for deep-document reasoning, and you are comfortable with Alibaba's known throughput of 35–36 tokens per second. Skip it if you want benchmark-backed quality, multimodal input, or a lower output rate.
The case for it
- 262,144-token request limit — among the largest we track for this model class.
- Known throughput of 35–36 tokens per second on Alibaba's endpoint.
The case against it
- Premium output rate with zero benchmark scores in our data to justify the cost.
- Throughput only measured on Alibaba; unverified on the other three tracked hosts.
- Text-only; no image, audio or video input.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 4 hours ago — each listing carries its own date.
- per 1M tokens
- $0.78 in / $3.90 out
- Context served
- 262K
- Throughput
- ~59 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.78 / $3.90checked 4 hours ago | 262K | not measured | Unknown | Unknown | Unknown |
| Alibaba CloudThrough OpenRouter | $0.78 / $3.90checked 4 hours ago | 262K66K max reply | 59 tok/s | No | Yesunknown period | Unknown |
| DeepInfraDirect | $1.20 / $6.00checked 4 hours ago | 256K | not measured | Unknown | Unknown | Unknown |
OpenRouter
DeepInfraAcross the 3 listings we hold: 1 says it does not train on prompts, 0 say they do and 2 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.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Alibaba CloudThrough OpenRouter | ✓ | ✓ | ✓ |
| DeepInfraDirect |
Tool calling: 2 of 3 listings say yes, 1 publishes no parameter list. JSON output: 2 of 3 listings say yes, 1 publishes no parameter list. Strict schema: 2 of 3 listings say yes, 1 publishes no parameter list.
When we formed this view
Recent changes
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
- No independent board has scored it, so we hold no quality figures at all.
- 1 of 3 listings publishes no parameter list, so what its API accepts is unknown to us.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 2 of 3 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 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-max-thinking