How does OLMo 7B Instruct rank among AI models?
OLMo 7B Instruct is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
Allen Institute·#504 of 504 in the all-versions archive
OLMo 7B Instruct is a language model from Allen Institute. It ranks #504 of 504 in ModelCap's all-versions archive, with an Index score of 3.3, measured on 2 public benchmarks. Its score range of 0.0–9.5 spans positions #476–#504. Its weights are openly downloadable.
Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology
ModelCap Index · All-versions archive
3.3#504
Measured on 2 public benchmarks · range 0.0–9.5
Evidence as of 28 Oct 2026, 00:00 UTC
Superseded by Olmo 3 7B Instruct. It no longer holds a current-board position; its all-versions archive rank is #504.
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 minutesCurrent provider status is unavailable.
Other versions (3)
ModelCap Index · All-versions archive
Methodology3.3
Measured on 2 public benchmarks
All-versions archive
#504 of 504
- Score range
- 0.0–9.5
- Rank range
- #476–#504
- Evidence as of
- 28 Oct 2026, 00:00 UTC
- Benchmarks used
- Arena Coding, Arena Overall
Technical details
- Public rank basis
- Measured (measured)
- Evidence label
- Measured · 2 public benchmark observations across 2 boards
- Index support
- 47.7% · moderate
- Identity binding
- Exact catalogue product · allenai/allenai/OLMo-7B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata allenai/OLMo-7B-Instruct@5e3ff29c568c175562a78d726c1bd027a0bc6166 (not the evaluation revision)
- Index observations used
- 2
- Qualified Index evidence point
- 3.3
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
- 3.3
- Evidence status
- confirmed · 72% mass
- General preference
- 3.3
- Coding
- 3.7
- Agents & tools
- —
- Reasoning
- —
- Evidence breadth
- 92%
- Evidence coverage
- 48%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- —
- Liquidity (providers × uptime)
- —
- Open reach (HF downloads)
- 39.1
- Surface (context / tools / modalities)
- 0.0
- Freshness
- 2.3
- · HF 30d downloads 845
- · Catalogue surface
- · First seen 2024-02-23
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 index57.5
partial · 70% metadata coverage
- Artifact reproducibility
- 85.0
- Access & legal clarity
- 100.0
- Deployability
- 8.0
- Evaluation provenance
- 48.2
Not yet published: the base model it derives from, 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 activity
Venue coverage- Market Gravity
- 6.0
- 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
- Status
- Ranked
- Source
- LMArena
- Official rank
- #406 of 419
- Rating
- 1073.7
- 95% confidence interval
- 1063–1085
- Votes
- 6K
- Source published at
- 28 Oct 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 100%
Market Gravity breakdown
- Usage55%
- 0.0
- Liquidity25%
- 0.0
- Open reach15%
- 39.1
- Freshness5%
- 2.3
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Model ID
allenai/OLMo-7B-Instruct- 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
- 23 Feb 2024
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
- 5e3ff29c568c
- Parameters
- 6.9B
- Architecture
- OLMoForCausalLM
- Model type
- hf_olmo
- Hugging Face downloads (30d)
- 845
- Downloads (all time)
- 93K
- Likes
- 54
- Repository
- allenai/OLMo-7B-Instruct
- Repository updated
- 15 Oct 2024, 21:04 UTC
Benchmark leaderboards featuring OLMo 7B Instruct
All leaderboardsOLMo 7B Instruct: common questions
How much does OLMo 7B Instruct cost per 1M tokens?
No live API price is listed for OLMo 7B Instruct in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is OLMo 7B Instruct 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-7B-Instruct on Hugging Face.
Which benchmarks has OLMo 7B Instruct been evaluated on?
OLMo 7B Instruct has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1074 (#406 of 419) and Arena coding 1107 (#401 of 414). 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.
When was OLMo 7B Instruct released?
OLMo 7B Instruct first appeared in the catalogue on 23 Feb 2024. It has since been superseded by Olmo 3 7B Instruct. Rank and price movements since then are recorded on the site's changes feed.