o4-mini

OpenAI · Chat model

o4-mini is listed here as a chat model from OpenAI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

openai-o4-mini

Input

$1.1000 / 1M tokens

Output

$4.4000 / 1M tokens

Cached input

$0.2750 / 1M tokens

Context window

100.0K

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item	Price
Input	$1.1000 / 1M tokens
Output	$4.4000 / 1M tokens
Cached input	$0.2750 / 1M tokens
Cache write	$1.1000 / 1M tokens
Embedding	$1.1000 / 1M tokens
Priority input	$2.0000 / 1M tokens
Priority output	$8.0000 / 1M tokens
Flex input	$0.5500 / 1M tokens
Flex output	$2.2000 / 1M tokens

Limits

Context window

100.0K

Max input tokens

200.0K

Max output tokens

100.0K

Max tokens

100.0K

Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	Supported
Function calling	Supported
Parallel function calling	-
Tool choice	Supported
Prompt caching	Supported
Reasoning	Supported
Response schema	Supported
System messages	-
Audio input	-
Audio output	-
Web search	Supported
PDF input	Supported
Video input	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark	Score	Metric	Scope	Checked	Source
AIME 2025	92.7%	accuracy (%)	Base model: o4-mini (OpenAI o4-mini (high))	2026-05-31	Link
GPQA Diamond	81.4%	accuracy (%)	Base model: o4-mini (OpenAI o4-mini (high))	2026-05-31	Link
SWE-bench Verified	68.1%	accuracy (%)	Base model: o4-mini (OpenAI o4-mini (high))	2026-05-31	Link

Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z