o3-mini is a cost-effective reasoning model optimized for STEM reasoning, offering function calling and structured outputs at the same cost as o1-mini.

It delivers 39% reduction in major errors on complex real-world questions compared to o1-mini, with high intelligence at the same latency targets.

It excels at math, science, coding tasks, function calling, structured outputs, and STEM reasoning with reasoning effort control.

What are o3-mini's limitations?

No vision support (text only), some reliability concerns with function calling, and an older knowledge cutoff (October 2023).

How much does o3-mini cost?

o3-mini pricing is $1.10 per 1M input tokens and $4.40 per 1M output tokens. Cached input tokens cost $0.55 per 1M.

LangFast

Beta

o3 Mini

Cheaper reasoning model for constrained logic tasks.

Try in Playground

Community Sentiment

Mixed

Based on Reddit reviews

Community Verdict

Best for STEM Reasoning

Based on Reddit reviews

Input Modalities

Text

Output Modalities

Text

Price / 1M tokens

$1.1$4.4

InputOutput

Best For

Cost-efficient STEM reasoning

Math, science, coding (39% fewer errors vs prior)

Structured outputs & function calling in prod

Low-latency apps (o1-mini speed)

200K context for long docs

Adjustable reasoning (speed vs accuracy)

Batch API for high-volume use

Streaming for real-time output

Developer messages for system instructions

Avoid For

Vision input (use o1 or o4-mini)

Critical function calling (performance issues)

Mission-critical systems (API reliability issues)

Audio/video input (not supported)

Post-Oct 1, 2023 knowledge gaps

Fine-tuning (not supported)

Use cases needing o4-mini multimodal

Tool-heavy workflows (no browsing)

200,000 context window

100,000 max output tokens

Oct 1, 2023 knowledge cutoff

Reasoning supported

Parameters

While OpenAI documents a unified parameter set for the Chat Completions and Responses APIs, each model supports only a limited subset of model-specific parameters and values. This table lists the supported model-specific o3 Mini API parameters and allowed values.

Parameter	Description	Path	Supported Values
Model	Selects the model version for the request	model	o3-minio3-mini-2025-01-31
Message roles	Defines the role of the message in the input	messages[].role	developersystemuserassistant
Reasoning effort	Controls the depth of internal reasoning used by the model	reasoning_effort	lowmediumhigh
Reasoning summary	Controls whether the model produces a concise or detailed reasoning summary	reasoning_summary	detailedauto
Max output tokens	Max output tokens the model may generate	max_completion_tokens	16 .. 100,000
Verbosity	Controls how brief or detailed the generated response is	verbosity	medium
Output format	Specifies the output format, including structured JSON schemas	response_format	textjson_objectjson_schema
Temperature	Controls how random or deterministic the output is	temperature	Not supported
Top P	Controls how diverse the output tokens are	top_p	Not supported
Presence penalty	Encourages the model to introduce new topics	presence_penalty	Not supported
Frequency penalty	Reduces repetition of the same words or phrases	frequency_penalty	Not supported

Pricing

o3 Mini API pricing is based on token usage for input and output. Prices are listed per 1M tokens, with lower rates for cached input. Tool-specific features may add per-call fees.

Text tokens

Per 1M tokens

Input$1.10

Cached input$0.55

Output$4.40

Example costs (o3 Mini)

TASK

APPROX COST

Math problem solving

~$0.01–$0.05

Code debugging

~$0.03–$0.15

STEM reasoning task

~$0.02–$0.10

Modalities

What the model can accept and produce

TextInput and output

ImagesNot supported

AudioNot supported

VideoNot supported

Features

Platform-level capabilities

StreamingSupported

Function callingSupported

Structured outputsSupported

Fine-tuningNot supported

DistillationNot supported

Predicted outputsNot supported

Tools

Tools supported by this model when using the Responses API.

Web searchNot supported

File searchSupported

Image generationSupported

Code interpreterSupported

MCPSupported

Computer useNot supported

Snapshots

o3 Mini model snapshots ensure stable behavior by locking a specific version. See all available snapshots and aliases below.

o3-mini

↪ o3-mini-2025-01-31

o3-mini-2025-01-31

FAQs

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