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
9.9
Evidence status
confirmed · 77% mass
General preference
9.5
Coding
13.0
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
62%
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
3.2
· Catalogue surface
· First seen 2024-04-03
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%
3.2
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
3 Apr 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.
Qwen1.5 32B Chat holds ModelCap Index position #232 of 265 ranked language models as of 23 September 2026, with an Index score of 9.9 (interval 4.9–14.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Qwen1.5 32B Chat cost per 1M tokens?
No live API price is listed for Qwen1.5 32B Chat in the current snapshot as of 23 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Qwen1.5 32B Chat 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/Qwen1.5-32B-Chat on Hugging Face.
Which benchmarks has Qwen1.5 32B Chat been evaluated on?
Qwen1.5 32B Chat has published results on 1 public board tracked by ModelCap as of 23 September 2026: Arena coding 1262 (#322 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
How does Qwen1.5 32B Chat compare with Bolmo 7B?
Qwen1.5 32B Chat ranks #232 (Index 9.9) and Bolmo 7B ranks #233 (Index 9.9) on the ModelCap Index as of 23 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
When was Qwen1.5 32B Chat released?
Qwen1.5 32B Chat first appeared in the catalogue on 3 Apr 2024. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.