Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
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
16.3
Evidence status
provisional · 62% mass
General preference
16.3
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
80%
Evidence coverage
60%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
—
Surface (context / tools / modalities)
0.0
Freshness
4.0
· Catalogue surface
· First seen 2024-05-28
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.
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
Configuration results available
Arena has published current community results for Default. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.
Current board through 13 Sept 2026, 14:00 UTC
Market Gravity breakdown
Usage55%
0.0
OpenRouter weekly popularity across the full model catalogue.
Liquidity25%
0.0
Independent providers versus the model's open or closed cohort, weighted by uptime.
Open reach15%
50.0
Hugging Face 30-day downloads for open models; neutral for closed models.
Freshness5%
4.0
Time since first public availability, on a six-month half-life.
Specification
Context window
— tokens
Max output
—
Inputs
Text
Outputs
Text
Tokenizer
—
Cached input tokens
Not offered
First seen on OpenRouter
28 May 2024
Capabilities
Not supported: Reasoning
Not supported: Tool use
Not supported: Structured output
Not supported: Response format
Not supported: Moderated
Weights & access
Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.
Qwen2 72B Instruct 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.
How much does Qwen2 72B Instruct cost per 1M tokens?
No live API price is listed for Qwen2 72B Instruct in the current snapshot as of 22 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Qwen2 72B Instruct open-weight?
Restricted license (tongyi-qianwen). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is Qwen/Qwen2-72B-Instruct on Hugging Face.
Which benchmarks has Qwen2 72B Instruct been evaluated on?
Qwen2 72B Instruct has published results on 1 public board tracked by ModelCap as of 22 September 2026: AA Humanity's Last Exam 3.7% (#585 of 632). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was Qwen2 72B Instruct released?
Qwen2 72B Instruct first appeared in the catalogue on 28 May 2024. It has since been superseded by Qwen2.5 72B Instruct. Rank and price movements since then are recorded on the site's changes feed.