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ModelCap

Olmo Hybrid 7B

Official publisher releaseOpen weights

Allen Institute·#292 of 350 on the current board

Olmo Hybrid 7B is a language model from Allen Institute. It ranks #292 of 350 on ModelCap's current board, with an Index score of 18.1, modeled from the publisher's launch results against measured models. Its score range of 8.4–27.8 spans positions #246–#338. Its weights are openly downloadable.

Figures as of 24 Oct 2026, 19:29 UTC · download the public dataset · methodology

ModelCap Index · Current board
18.1#292
Modeled from the publisher's launch results against measured models · range 8.4–27.8
Market Gravity
13.1
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

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
18.1
Modeled from the publisher's launch results against measured models
Current board
#292 of 350
Score range
8.4–27.8
Rank range
#246–#338
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · publisher-corpus-prior over 211 held-out anchors (11%); launch card against 2 resolved peers on 6 rows (90%); exceeds every named peer on 2 of 6 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.7 up toward the measured corpus
Index support
32.0% · limited
Identity binding
Exact catalogue product · allenai/allenai/Olmo-Hybrid-7B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata allenai/Olmo-Hybrid-7B@4f1cc566f9fdf3ce68da2ab6a788a83d89896dcf (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
18.1
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
18.1 ± 7.6
Independent share
0%
Shrink toward corpus
+0.7
Peer ceiling share
33%
Optimism haircut
None required · cross lab probe, 1 probe
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 211 held-out anchors
24.2 ± 23.311%
Launch card against resolved peers · not independent
launch card against 2 resolved peers on 6 rows
17.4 ± 8.090%
  • · Launch card row humaneval: claims above every resolved peer
  • · Launch card row mmlu-humanities: inside the resolved peer range
  • · Launch card row mmlu-other: inside the resolved peer range
  • · Launch card row mmlu-pro-mc: inside the resolved peer range
  • · Launch card row mmlu-social-sci: inside the resolved peer range
  • · Launch card row mmlu-stem: claims above every resolved peer
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
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
75.5
Surface (context / tools / modalities)
0.0
Freshness
35.8
  • · HF 30d downloads 13358
  • · Catalogue surface
  • · First seen 2026-01-28

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.

Experimental capability estimate

Estimate policy
15.0
0.2–29.9 uncertainty interval
Excluded from rank
Confidence
76%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
13.1
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

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

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%
75.5

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

Freshness5%
35.8

Time since first public availability, on a six-month half-life.

Specification

Model ID
allenai/Olmo-Hybrid-7B
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
28 Jan 2026

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
4f1cc566f9fd
Parameters
7.4B
Architecture
OlmoHybridForCausalLM
Model type
olmo_hybrid
Hugging Face downloads (30d)
13K
Downloads (all time)
251K
Likes
66
Repository updated
26 May 2026, 22:25 UTC

Alternatives to Olmo Hybrid 7B, by the numbers

Ranked neighbours

Models within 3 places of #292 on the ModelCap Index.

Other ranked Allen Institute models

The same publisher's other current models with a public Index position.

Olmo Hybrid 7B: common questions

How does Olmo Hybrid 7B rank among AI models?

Olmo Hybrid 7B holds ModelCap Index position #292 of 350 ranked language models as of 24 October 2026, with an Index score of 18.1 (interval 8.4–27.8); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Olmo Hybrid 7B cost per 1M tokens?

No live API price is listed for Olmo Hybrid 7B in the current snapshot as of 24 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Olmo Hybrid 7B 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-Hybrid-7B on Hugging Face.

Which benchmarks has Olmo Hybrid 7B been evaluated on?

Olmo Hybrid 7B'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 24 October 2026. The evidence panel names each source and its publication date.

When was Olmo Hybrid 7B released?

Olmo Hybrid 7B first appeared in the catalogue on 28 Jan 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.