o4-mini — OpenAI | Modeldex

o4-mini

Active

Fast reasoning model.

Updated 4 days agoStructured data from Modeldex catalog

VisionAgenticLong contextCode

Knowledge cutoff

Jun 30, 2024(1.8 years ago)

API release

Apr 16, 2025(1.0 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

History

o4-mini became available via the OpenAI API on 2025-04-16.

Training & availability

Training data has a knowledge cutoff of 2024-06-30 — 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, image.

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

Limitations

The knowledge cutoff is 21 months old — this model will not know about recent events, releases, or API changes.

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="o4-mini",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Benchmarks

Benchmark	Score	Source
Aider PolyglotCoding	72% pass@2	Third-party Papers With Code
SWE-bench VerifiedCoding	68.1% resolved	Third-party Papers With Code

Integrations & tooling support

Tool calling: Supported
Structured outputs: Supported

Price vs quality

Strong benchmark performance

Top-tier benchmarks. Pricing not publicly available — check the provider.

Quality percentile: 76.2%
Effective price: —
Pricing breakdown: — in
— out

Community ratings

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