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Olmo 3.1 32B Think

Current board #1591 Arena configurationsOfficial publisher releaseOpen weights7d #159 → #159

Allen Institute·allenai/Olmo-3.1-32B-Think

Olmo 3.1 32B Think is ModelCap current-board rank #159 with Index 17.1 (Measured), from the ModelCap Index as of 10 Sept 2026, 02:58 UTC.

Olmo 3.1 32B Think weight access is open weights, from ModelCap classification of published repository metadata as of 10 Sept 2026, 02:58 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
17.1#159
Measured · 55% support · score interval 11.5–22.7
Evidence as of 2 Sept 2026, 21:00 UTC
Market Gravity
11.1
Secondary market signal

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
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Default
olmo-3.1-32b-think
1286
CI 1278–1293
#2848KArena
Match 100%

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.

Dataset / taskMetricValueRevisionProvenance
joelniklaus/LEXam-hard
lexam_hard
18.37
Pinned
1bd50ee3ac80286fed27e5b89f03f4d8b4494244
Reported
Quarantined
Idavidrein/gpqa
diamond
57.0707
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
17.1
Measured · 1 public benchmark observation across 1 board
Current board
#159
Public rank basis
Measured (measured)
Index support
54.6% · moderate
Index interval
11.5–22.7
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
2 Sept 2026, 21:00 UTC
Identity binding
Exact catalogue product · allenai/allenai/Olmo-3.1-32B-Think · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata allenai/Olmo-3.1-32B-Think@832c3f543499af8fe68b88359501de9cb7840544 (not the evaluation revision)
Index observations used
1
Qualified Index evidence point
17.1
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
17.1
Evidence status
provisional · 60% mass
General preference
17.1
Coding
Agents & tools
Reasoning
Evidence breadth
80%
Evidence coverage
55%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
62.5
Surface (context / tools / modalities)
0.0
Freshness
35.2
  • · HF 30d downloads 5262
  • · 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.

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
59.7
partial · 74% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
36.5

Missing: deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, 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
11.1
OpenRouter weekly popularity
Not listed

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 2 Sept 2026, 21:00 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%
62.5

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
35.2

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
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.

Access
Open weights
Licence
apache-2.0
Pinned revision
832c3f543499
Parameters
32.2B
Architecture
Olmo3ForCausalLM
Model type
olmo3
Hugging Face downloads (30d)
5K
Downloads (all time)
63K
Likes
112
Repository updated
5 Jan 2026, 16:25 UTC

Compare Olmo 3.1 32B Think with

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Ranked neighbours

Models within 3 places of #159 on the ModelCap Index.

Olmo 3.1 32B Think: common questions

How does Olmo 3.1 32B Think rank among AI models?

Olmo 3.1 32B Think holds ModelCap Index position #159 of 169 ranked language models as of 10 September 2026, with an Index score of 17.1 (interval 11.5–22.7); 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 10 September 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's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 10 September 2026. The evidence panel names each source and its publication date.

How does Olmo 3.1 32B Think compare with Nova Pro 1.0?

Olmo 3.1 32B Think ranks #159 (Index 17.1) and Nova Pro 1.0 ranks #158 (Index 18.7) on the ModelCap Index as of 10 September 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.