How does GPT-5.1-Codex rank among AI models?
GPT-5.1-Codex is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
GPT-5.1-Codex
API onlyOpenAI·openai/gpt-5.1-codex
GPT-5.1-Codex listed OpenRouter input price is $1.25 per 1M tokens and listed output price is $10.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
GPT-5.1-Codex has a published context limit of 400K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
GPT-5.1-Codex has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
GPT-5.1-Codex weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
ModelCap Index · All-versions archive
—
Not scored · 0% support · score interval not available
Superseded by GPT-5.3-Codex. It no longer holds a current-board position.
Input
$1.25
per 1M tokens
Output
$10.00
per 1M tokens
Context
400K
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutesOther versions (2)
ModelCap Index · All-versions archive
Methodology—
Not scored · no public benchmark evidence
- Public rank basis
- Not scored (abstained)
- Index support
- 0.0% · not applicable
- Index interval
- Not available
- Rank posterior
- Not available
- Top 5 / Top 10 probability
- Not available / Not available
- Posterior as of
- Snapshot timestamp unavailable
- Evidence as of
- No admitted evaluation publication timestamp
- Identity binding
- Exact catalogue product · openai/openai/gpt-5.1-codex · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 0
- Architecture fallback
- abstained · 0% coverage · 0 anchors
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)
- 7.7
- Liquidity (providers × uptime)
- 97.4
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 93.3
- Freshness
- 30.4
- · OpenRouter popularity #206
- · 1 live provider
- · Catalogue: context 400000, reasoning, tools, modalities Text/Image
- · First seen 2025-11-13
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 policyEstimator abstained
insufficient-artifact-metadata
- Feature coverage
- 86%
- Training support
- 209 models · 120 lineages
insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Deployment readiness
Metadata index30.1
limited · 38% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 80.0
- Evaluation provenance
- 0.0
Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, 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
- 37.6
- OpenRouter weekly popularity
- #206 of 322
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%
- 7.7
- Liquidity25%
- 97.4
- Open reach15%
- 50.0
- Freshness5%
- 30.4
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
- Context window
- 400K tokens
- Max output
- 128K tokens
- Inputs
- Text, Image
- Outputs
- Text
- Tokenizer
- GPT
- Cached input tokens
- $0.13 / 1M
- First seen on OpenRouter
- 13 Nov 2025
Capabilities
- Supported: Reasoning
- Supported: Tool use
- Supported: Structured output
- Supported: Response format
- Not supported: Moderated
Benchmark leaderboards featuring GPT-5.1-Codex
All leaderboardsGPT-5.1-Codex: common questions
How much does GPT-5.1-Codex cost per 1M tokens?
GPT-5.1-Codex is listed at $1.25 per 1M input tokens and $10.00 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $7.50 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of GPT-5.1-Codex?
GPT-5.1-Codex has a published context window of 400K tokens (400,000) and a maximum output of 128K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is GPT-5.1-Codex open-weight?
API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.
Which API providers serve GPT-5.1-Codex?
One provider serves GPT-5.1-Codex through OpenRouter as of 22 September 2026: Azure. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has GPT-5.1-Codex been evaluated on?
GPT-5.1-Codex has published results on 3 public boards tracked by ModelCap as of 22 September 2026: SWE-bench 66.0% (#19 of 47), AA τ²-Bench Telecom 83.0% (#119 of 436) and AA Humanity's Last Exam 25.7% (#145 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was GPT-5.1-Codex released?
GPT-5.1-Codex first appeared in the catalogue on 13 Nov 2025. It has since been superseded by GPT-5.3-Codex. Rank and price movements since then are recorded on the site's changes feed.