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ModelCap

o3 Mini High

API only

OpenAI·openai/o3-mini-high

o3 Mini High is a language model published by OpenAI. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text, file input and returns text. The published context limit is 200K tokens. The catalogue declares support for reasoning, tool use, structured outputs.

Rank and capability evidence
See o3 Mini
Route-specific operations remain below
Market Gravity
20.2
Secondary market signal

Superseded by o4 Mini High. It no longer holds a current-board position.

This separately configured or accelerated route is reviewed as the same underlying model identity as o3 Mini. That canonical product owns rank and capability evidence; pricing, providers and other operational differences remain route-specific below.

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$4.40200K

Other versions (1)

Deployment readiness

Metadata index
40.2
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
50.5

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
20.2
OpenRouter weekly popularity
#277 of 298

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Market Gravity breakdown

Usage55%
1.3

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
45.6

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%
12.7

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

Specification

Context window
200K tokens
Max output
100K tokens
Inputs
Text, File
Outputs
Text
Tokenizer
GPT
Cached input tokens
$0.55 / 1M
First seen on OpenRouter
12 Feb 2025
Knowledge cutoff
2023-10-31

Capabilities

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