o3-mini — OpenAI | Modeldex

o3-mini

Active74.5Strong

Cost-efficient reasoning model with strong STEM performance.

Updated 4 days agoStructured data from Modeldex catalog

MathAgenticLong contextCode

Knowledge cutoff

Oct 31, 2023(2.5 years ago)

API release

Jan 31, 2025(1.2 years ago)

Intelligence Index

74.5/ 100

Strongweighted across 6 benchmarks

Math: 83.4
Coding: 65.5

Computed as the mean of per-category averages across MMLU, GPQA, SWE-bench, HumanEval, MATH, GSM8K, AIME, Aider Polyglot and more. See each benchmark for methodology.

Overview

o3-mini is OpenAI's small reasoning model offering strong performance on math and coding benchmarks at significantly lower cost than o3 or o1.

History

o3-mini became available via the OpenAI API on 2025-01-31.

Training & availability

Training data has a knowledge cutoff of 2023-10-31 — information about events after that date is unlikely to appear in the model's responses. OpenAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 200K tokens.
Max output: 100K tokens.
Input modalities: text.
Intelligence Index: 77.4/100.

Strongest categories: Math (83), Coding (71).

Recommended for: math, agentic, long-context, code.

Limitations

The knowledge cutoff is 30 months old — this model will not know about recent events, releases, or API changes.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $1.1000 per 1M tokens
Output: $4.4000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the openai API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
    model="o3-mini",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $1.1/1M

Output tokens / month2.0M

@ $4.4/1M

Input cost

$5.5

5.0M × $1.1/1M

Output cost

$8.8

2.0M × $4.4/1M

Total / month

$14.3

$171.6 / year

Benchmarks

Benchmark	Score	Source
AIME 2024Math	63.3% accuracy	Self-reported OpenAI system card
Aider PolyglotCoding	53.8% pass@2	Third-party Papers With Code
GSM8KMath	97% accuracy	Self-reported OpenAI system card

Integrations & tooling support

Tool calling: Supported
Structured outputs: Supported

Price vs quality

Fair value

Mid-tier performance and pricing — standard choice.

Quality percentile: 56.1%
Effective price: $3.58/1M
Pricing breakdown: $1.1/1M in
$4.4/1M out

Community ratings

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