How does o1 rank among AI models?
o1 is a superseded version and is not on the current board as of 6 November 2026.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.
o1
Arena #161No linked weightsOpenAI·#185 of 504 in the all-versions archive
o1 is a language model from OpenAI. It ranks #185 of 504 in ModelCap's all-versions archive, with an Index score of 53.0, measured on 2 public benchmarks. Its score range of 48.0–58.0 spans positions #154–#230. It reads up to 200K tokens of context, with no downloadable weights linked in the current source data.
Figures as of 6 Nov 2026, 14:10 UTC · download the public dataset · methodology
ModelCap Index · All-versions archive
53.0#185
Measured on 2 public benchmarks · range 48.0–58.0
Evidence as of 28 Oct 2026, 00:00 UTC
Superseded by o3. It no longer holds a current-board position; its all-versions archive rank is #185.
Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
200K
tokens
Providers
0
endpoints
Providers
Uptime measured over the last 30 minutesNo provider is currently serving this model.
Other versions (1)
ModelCap Index · All-versions archive
Methodology53.0
Measured on 2 public benchmarks
All-versions archive
#185 of 504
- Score range
- 48.0–58.0
- Rank range
- #154–#230
- 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
- 62.3% · strong
- Identity binding
- Exact catalogue product · openai/openai/o1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 2
- Qualified Index evidence point
- 53.0
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
- 53.0
- Evidence status
- confirmed · 77% mass
- General preference
- 53.6
- Coding
- 48.4
- 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)
- 88.3
- Freshness
- 7.3
- · Catalogue: context 200000, reasoning, tools, modalities Text/Image/File
- · First seen 2024-12-17
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
- Arena Overall53.6
- Arena Coding48.4
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 index27.1
limited · 37% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 35.0
- Evaluation provenance
- 52.6
Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, 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
- 7.9
- 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
- #161 of 419
- Rating
- 1402.3
- 95% confidence interval
- 1398–1407
- Votes
- 28K
- Source published at
- 28 Oct 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 99%
Market Gravity breakdown
- Usage55%
- 0.0
- Liquidity25%
- 0.0
- Open reach15%
- 50.0
- Freshness5%
- 7.3
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
openai/o1- Context window
- 200K tokens
- Declared output cap
- 100K tokens
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, Image, File
- Outputs
- Text
- Tokenizer
- GPT
- Cached input tokens
- $7.50 / 1M
- First seen on OpenRouter
- 17 Dec 2024
- Knowledge cutoff
- 2023-10-31
Capabilities
- Supported: Reasoning
- Supported: Tool use
- Supported: Structured output
- Supported: Response format
- Supported: Moderated
Benchmark leaderboards featuring o1
All leaderboardso1: common questions
How much does o1 cost per 1M tokens?
No live API price is listed for o1 in the current snapshot as of 6 November 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.
What is the context window of o1?
o1 has a published context window of 200K tokens (200,000). The snapshot lists a 100,000 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Is o1 open-weight?
No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.
Which benchmarks has o1 been evaluated on?
o1 has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1402 (#161 of 419) and Arena coding 1433 (#184 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 o1 released?
o1 first appeared in the catalogue on 17 Dec 2024, with a published knowledge cutoff of 2023-10-31. It has since been superseded by o3. Rank and price movements since then are recorded on the site's changes feed.