How does Qwen3.6 Flash rank among AI models?
Qwen3.6 Flash is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
Qwen·qwen/qwen3.6-flash
Qwen3.6 Flash is ModelCap archive rank #174 (Modeled · succession), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Flash listed OpenRouter input price is $0.188 per 1M tokens and listed output price is $1.13 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Flash has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Flash has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Flash weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
ModelCap Index · All-versions archive
50.3#174
Estimated · 32% support · score interval 36.7–63.9
No admitted evaluation publication timestamp yet
Superseded by Qwen3.8 Flash. It no longer holds a current-board position; its all-versions archive rank is #174.
Input
$0.188
per 1M tokens
Output
$1.13
per 1M tokens
Context
1M
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutesOther versions (3)
ModelCap Index · All-versions archive
Methodology50.3
Modeled · succession · calibrated architecture-and-release-era fallback from static public metadata
All-versions archive
#174
- Public rank basis
- Modeled · succession (architecture)
- Index support
- 31.8% · limited
- Index interval
- 36.7–63.9
- Rank posterior
- Not available
- Top 5 / Top 10 probability
- Not available / Not available
- Posterior as of
- Snapshot timestamp unavailable
- Evidence as of
- No admitted evaluation publication timestamp
- Identity binding
- Exact catalogue product · qwen/qwen/qwen3.6-flash · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 0
- Qualified Index evidence point
- 50.3
How this position was produced · fused launch placement
No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.
- Fused estimate
- 50.3 ± 10.6
- Independent share
- 0%
- Shrink toward corpus
- +0.9
- Optimism haircut
- None applied
- Method
- precision-weighted-v1
Bayesian Evidence Score · measured evidence input only
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
- Observed capability
- —
- Evidence status
- No admitted measured evidence
- General preference
- —
- Coding
- —
- Agents & tools
- —
- Reasoning
- —
- Evidence breadth
- 0%
- Evidence coverage
- 0%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- 15.3
- Liquidity (providers × uptime)
- 97.4
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 100.0
- Freshness
- 56.9
- · OpenRouter popularity #133
- · 1 live provider
- · Catalogue: context 1000000, reasoning, tools, modalities Text/Image/Video
- · First seen 2026-04-27
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Experimental capability estimate
Estimate policyEstimator abstained
insufficient-artifact-metadata
- Feature coverage
- 86%
- Training support
- 207 models · 119 lineages
insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Deployment readiness
Metadata index30.1
limited · 38% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 80.0
- Evaluation provenance
- 0.0
Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market activity
Venue coverage- Market Gravity
- 43.1
- OpenRouter weekly popularity
- #133 of 322
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
Arena preference
No matched Arena rating
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
Market Gravity breakdown
- Usage55%
- 15.3
- Liquidity25%
- 97.4
- Open reach15%
- 50.0
- Freshness5%
- 56.9
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Context window
- 1M tokens
- Max output
- 66K tokens
- Inputs
- Text, Image, Video
- Outputs
- Text
- Tokenizer
- Qwen3
- Cached input tokens
- Not offered
- First seen on OpenRouter
- 27 Apr 2026
Capabilities
- Supported: Reasoning
- Supported: Tool use
- Supported: Structured output
- Supported: Response format
- Not supported: Moderated
Qwen3.6 Flash: common questions
How much does Qwen3.6 Flash cost per 1M tokens?
Qwen3.6 Flash is listed at $0.188 per 1M input tokens and $1.13 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.938 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Qwen3.6 Flash?
Qwen3.6 Flash has a published context window of 1M tokens (1,000,000) and a maximum output of 66K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is Qwen3.6 Flash open-weight?
API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.
Which API providers serve Qwen3.6 Flash?
One provider serves Qwen3.6 Flash through OpenRouter as of 22 September 2026: Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
When was Qwen3.6 Flash released?
Qwen3.6 Flash first appeared in the catalogue on 27 Apr 2026. It has since been superseded by Qwen3.8 Flash. Rank and price movements since then are recorded on the site's changes feed.