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ModelCap

o4 Mini

Current board #106Arena #160API only7d #98 → #106

OpenAI·openai/o4-mini

o4 Mini is ModelCap current-board rank #106 with Index 49.1 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

o4 Mini listed OpenRouter input price is $1.10 per 1M tokens and listed output price is $4.40 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

o4 Mini has a published context limit of 200K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

o4 Mini has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

o4 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
49.1#106
Measured · 65% support · score interval 44.3–53.9
Evidence as of 21 Sept 2026, 17:21 UTC
Market Gravity
21.3
Secondary market signal
Input
$1.10
per 1M tokens
Output
$4.40
per 1M tokens
Context
200K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
OpenAI$1.10$4.40200K100.0%

Other versions (1)

ModelCap Index · Current board

Methodology
49.1
Measured · 3 public benchmark observations across 3 boards
Current board
#106
Public rank basis
Measured (measured)
Index support
64.8% · strong
Index interval
44.3–53.9
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/o4-mini · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
3
Qualified Index evidence point
49.1
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
49.1
Evidence status
confirmed · 87% mass
General preference
50.2
Coding
47.3
Agents & tools
Reasoning
28.0
Evidence breadth
95%
Evidence coverage
65%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
7.6
Liquidity (providers × uptime)
35.8
Open reach (HF downloads)
Surface (context / tools / modalities)
88.3
Freshness
13.6
  • · OpenRouter popularity #208
  • · 1 live provider
  • · Catalogue: context 200000, reasoning, tools, modalities Image/Text/File
  • · First seen 2025-04-16

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
45.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
76.7

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
21.3
OpenRouter weekly popularity
#208 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

Status
Ranked
Source
LMArena
Official rank
#160 of 402
Rating
1390.8
95% confidence interval
1387–1395
Votes
45K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
7.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.8

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%
13.6

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

Specification

Context window
200K tokens
Max output
100K tokens
Inputs
Image, Text, File
Outputs
Text
Tokenizer
GPT
Cached input tokens
$0.275 / 1M
First seen on OpenRouter
16 Apr 2025
Knowledge cutoff
2024-06-30

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Supported: Moderated

Compare o4 Mini with

Pick any model

Benchmark leaderboards featuring o4 Mini

All leaderboards
Public benchmark boards on which o4 Mini has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14331426–1440#165 of 397Default13 Sept 2026
ARC-AGI-2 leaderboardARC Prize Foundation6.1%#123 of 214High21 Sept 2026
SWE-bench leaderboardSWE-bench (Princeton / SWE-agent team)45.0%#36 of 47Default26 Jul 2025
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)53.2#18 of 83Function calling12 Apr 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis55.6%#194 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="o4-mini (high)":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis16.5%#206 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="o4-mini (high)":reasoning=true5 Sept 2026

Alternatives to o4 Mini, by the numbers

Ranked neighbours

Models within 3 places of #106 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.

o4 Mini: common questions

How does o4 Mini rank among AI models?

o4 Mini holds ModelCap Index position #106 of 248 ranked language models as of 22 September 2026, with an Index score of 49.1 (interval 44.3–53.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does o4 Mini cost per 1M tokens?

o4 Mini is listed at $1.10 per 1M input tokens and $4.40 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 $4.40 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 o4 Mini?

o4 Mini has a published context window of 200K tokens (200,000) and a maximum output of 100K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is o4 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 o4 Mini?

One provider serves o4 Mini through OpenRouter as of 22 September 2026: OpenAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has o4 Mini been evaluated on?

o4 Mini has published results on 6 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1433 (#165 of 397), ARC-AGI-2 6.1% (#123 of 214), SWE-bench 45.0% (#36 of 47), BFCL V4 53.2 (#18 of 83) and AA τ²-Bench Telecom 55.6% (#194 of 436) and more. Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does o4 Mini compare with Qwen3 30B A3B Instruct 2507?

o4 Mini ranks #106 (Index 49.1) and Qwen3 30B A3B Instruct 2507 ranks #107 (Index 48.0) 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 o4 Mini released?

o4 Mini first appeared in the catalogue on 16 Apr 2025, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.