Models / Qwen/ Qwen3.6 Flash

Qwen3.6 Flash

Qwen · released Apr 27, 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 4, 2026

Qwen3.6 Flash is a proprietary multimodal model from Alibaba that handles up to one million tokens in a single request and accepts text, images and video. It is positioned as a long-context generalist, though no benchmark scores or parameter count are available in our data.

Who should pick it

Pick this when you need very long document or video analysis and proprietary weights are acceptable. Use it for budget-conscious multimodal inference where a million-token request limit matters. Skip it if you need measured quality scores, want to self-host or fine-tune, or require transparency about model size.

The case for it

  • One-million-token request limit, an unusually large figure for its price tier.
  • Identical pricing across all three tracked offers, so provider choice does not create cost surprises.
  • Two speed tiers from the same provider: 96 or 81 tokens per second depending on endpoint.

The case against it

  • No measured quality scores in our data — chat, reasoning, coding and multimodal performance are all unverified.
  • Parameter count undisclosed, so there is no basis to judge size, efficiency or local feasibility.
  • Proprietary weights with no listed licence; cannot be self-hosted or fine-tuned independently.
00

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 these scores come from →

01

Where to rent it

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

Cheapest published offer

Alibaba Cloud, through OpenRouter

Cheapest of 2 live listings.

per 1M tokens
$0.19 in / $1.13 out
Context served
1M
Throughput
~102 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.19 / $1.13checked 4 hours ago1Mnot measuredUnknownUnknownUnknown
Alibaba CloudThrough OpenRouter$0.19 / $1.13checked 4 hours ago1M66K max reply102 tok/sNoYesunknown periodUnknown

Across 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.

API features per host
ProviderTool callingJSON outputStrict 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.

02

Models people weigh against Qwen3.6 Flash

03

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Apr 27, 2026AnnouncedQwen3.6 Flash announced by Qwen

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

  • No independent board has scored it, so we hold no quality figures at all.
  • 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.
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-qwen3-6-flash

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us