Olmo 3.1 32B Think is a language model from Allen Institute. It ranks #260 of 351 on ModelCap's current board, with an Index score of 25.0, measured on 2 public benchmarks. Its score range of 19.5–30.5 spans positions #233–#289. Its weights are openly downloadable.
OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.
Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints
Providers
Uptime measured over the last 30 minutes
Current provider status is unavailable.
Reported evaluation leads (2)
Not independent measurement
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
25.0
Evidence status
confirmed · 75% mass
General preference
24.5
Coding
28.4
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
57%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
78.7
Surface (context / tools / modalities)
0.0
Freshness
29.6
· HF 30d downloads 19269
· Catalogue surface
· First seen 2025-12-10
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.
Not yet published: a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, pinned evaluation dataset versions.
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.
Liquidity25%
0.0
Independent providers versus the model's open or closed cohort, weighted by uptime.
Open reach15%
78.7
Hugging Face 30-day downloads for open models; neutral for closed models.
Freshness5%
29.6
Time since first public availability, on a six-month half-life.
Specification
Model ID
allenai/Olmo-3.1-32B-Think
Declared output cap
Unknown
OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
10 Dec 2025
Capabilities
Not supported: Reasoning
Not supported: Tool use
Not supported: Structured output
Not supported: Response format
Not supported: Moderated
Weights & access
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
Olmo 3.1 32B Think holds ModelCap Index position #260 of 351 ranked language models as of 25 October 2026, with an Index score of 25.0 (interval 19.5–30.5); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Olmo 3.1 32B Think cost per 1M tokens?
No live API price is listed for Olmo 3.1 32B Think in the current snapshot as of 25 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Olmo 3.1 32B Think open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is allenai/Olmo-3.1-32B-Think on Hugging Face.
Which benchmarks has Olmo 3.1 32B Think been evaluated on?
Olmo 3.1 32B Think has published results on 2 public boards tracked by ModelCap as of 25 October 2026: Arena text 1286 (#302 of 418) and Arena coding 1341 (#284 of 413). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
How does Olmo 3.1 32B Think compare with Llama 3.1 Tulu 3 70B?
Olmo 3.1 32B Think ranks #260 (Index 25.0) and Llama 3.1 Tulu 3 70B ranks #267 (Index 24.2) on the ModelCap Index as of 25 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
When was Olmo 3.1 32B Think released?
Olmo 3.1 32B Think first appeared in the catalogue on 10 Dec 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.