Qwen·qwen/qwen3.6-max-preview
Qwen3.6 Max Preview is ModelCap archive rank #47 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Max Preview listed OpenRouter input price is $1.03 per 1M tokens and listed output price is $6.16 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Max Preview has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Max Preview has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
Qwen3.6 Max Preview 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
Superseded by Qwen3.8 Max (0902). It no longer holds a current-board position; its all-versions archive rank is #47.
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
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.
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.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
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.
Qwen3.6 Max Preview is a superseded version and is not on the current board as of 22 September 2026.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.
Qwen3.6 Max Preview is listed at $1.03 per 1M input tokens and $6.16 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 $5.13 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.
Qwen3.6 Max Preview has a published context window of 262K tokens (262,144) 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.
API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.
One provider serves Qwen3.6 Max Preview through OpenRouter as of 22 September 2026: Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Qwen3.6 Max Preview has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1509 (#49 of 397), AA τ²-Bench Telecom 95.9% (#16 of 436) and AA Humanity's Last Exam 30.8% (#109 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
Qwen3.6 Max Preview first appeared in the catalogue on 27 Apr 2026. It has since been superseded by Qwen3.8 Max (0902). Rank and price movements since then are recorded on the site's changes feed.