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ModelCap

GPT-4o-mini

Current board #138API only7d #130 → #138

OpenAI·openai/gpt-4o-mini

GPT-4o-mini is ModelCap current-board rank #138 with Index 37.1 (Measured · blended), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

GPT-4o-mini listed OpenRouter input price is $0.15 per 1M tokens and listed output price is $0.60 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

GPT-4o-mini has a published context limit of 128K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

GPT-4o-mini has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

GPT-4o-mini 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 · Current board
37.1#138
Measured · 2% support · score interval 14.7–59.5
Evidence as of 21 Sept 2026, 17:21 UTC
Market Gravity
44.0Increased by 0.2
Secondary market signal
Input
$0.15
per 1M tokens
Output
$0.60
per 1M tokens
Context
128K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
AzureCheapest$0.15$0.60128K100.0%
OpenAI$0.15$0.60128K100.0%
Azureswedencentral$0.165$0.66128K

Other versions (1)

ModelCap Index · Current board

Methodology
37.1
Measured · blended · publisher-corpus-prior over 203 held-out anchors (60%); 1 specialist-board observation at 2.1% support (40%); shrunk 23.5 up toward the measured corpus
Current board
#138
Public rank basis
Measured · blended (measured)
Index support
2.1% · weak
Index interval
14.7–59.5
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
21 Sept 2026, 17:21 UTC
Identity binding
Exact catalogue product · openai/openai/gpt-4o-mini · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
1
Qualified Index evidence point
37.1
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
37.1 ± 17.5
Independent share
40%
Shrink toward corpus
+23.5
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 203 held-out anchors
53.0 ± 22.760%
Specialist board measurement
1 specialist-board observation at 2.1% support
13.6 ± 27.640%
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
13.6
Evidence status
provisional · 2% mass
General preference
Coding
Agents & tools
Reasoning
13.6
Evidence breadth
3%
Evidence coverage
2%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
30.9
Liquidity (providers × uptime)
77.2
Open reach (HF downloads)
Surface (context / tools / modalities)
60.0
Freshness
4.8
  • · OpenRouter popularity #54
  • · 2 live providers
  • · Catalogue: context 128000, tools, modalities Text/Image/File
  • · First seen 2024-07-18

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
40.6
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
90.0
Evaluation provenance
37.9

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.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
44.0
OpenRouter weekly popularity
#54 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%
30.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
77.2

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

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

Freshness5%
4.8

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

Specification

Context window
128K tokens
Max output
16K tokens
Inputs
Text, Image, File
Outputs
Text
Tokenizer
GPT
Cached input tokens
$0.075 / 1M
First seen on OpenRouter
18 Jul 2024
Knowledge cutoff
2023-10-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Supported: Moderated

Compare GPT-4o-mini with

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Benchmark leaderboards featuring GPT-4o-mini

All leaderboards
Public benchmark boards on which GPT-4o-mini has a published result
LeaderboardScoreSource rankConfigurationPublished
ARC-AGI-2 leaderboardARC Prize Foundation0.0%#197 of 214Default21 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis4.2%#509 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-4o mini":reasoning=false5 Sept 2026

Alternatives to GPT-4o-mini, by the numbers

Ranked neighbours

Models within 3 places of #138 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked OpenAI models

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

GPT-4o-mini: common questions

How does GPT-4o-mini rank among AI models?

GPT-4o-mini holds ModelCap Index position #138 of 248 ranked language models as of 22 September 2026, with an Index score of 37.1 (interval 14.7–59.5); evidence: measured · blended. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does GPT-4o-mini cost per 1M tokens?

GPT-4o-mini is listed at $0.15 per 1M input tokens and $0.60 per 1M output tokens as of 22 September 2026 across 2 providers. 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 $0.60 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-4o-mini?

GPT-4o-mini has a published context window of 128K tokens (128,000) and a maximum output of 16K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GPT-4o-mini 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-4o-mini?

2 providers serve GPT-4o-mini through OpenRouter as of 22 September 2026: Azure and OpenAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GPT-4o-mini been evaluated on?

GPT-4o-mini has published results on 2 public boards tracked by ModelCap as of 22 September 2026: ARC-AGI-2 0.0% (#197 of 214) and AA Humanity's Last Exam 4.2% (#509 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does GPT-4o-mini compare with Llama 3 1 Nemotron Ultra 253B v1?

GPT-4o-mini ranks #138 (Index 37.1) and Llama 3 1 Nemotron Ultra 253B v1 ranks #139 (Index 37.0) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was GPT-4o-mini released?

GPT-4o-mini first appeared in the catalogue on 18 Jul 2024, with a published knowledge cutoff of 2023-10-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.