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o4-mini API Pricing & Cost Calculator

o4-mini is OpenAI's reasoning-focused model optimized for STEM, coding, and math. Chain-of-thought strong at a fraction of o-series flagship cost.

OpenAI retired o4-mini on 2026-10-23

The prices below are kept for reference and for comparing against current models. New requests to this model are unlikely to succeed.

Still available from OpenAI: GPT-5.5 Pro, GPT-6 Rosalind, GPT-5.6 Cyber

Input

$1.10

per 1M tokens

Output

$4.40

per 1M tokens

Context window

200K

tokens

Released

2025-04

Cutoff 2024-10

Model

✓ Exact tokenizer·$1.10 in·$4.40 out (per 1M)

Quick start with a use case

Input tokens

Output tokens

Total cost per call$0.003300

Input$0.001100

Output$0.002200

Cost comparison

Standard

$0.003300

With Caching

$0.002888

Save 12% ↓

With Batch

Not supported

Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

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Detailed pricing

o4-mini pricing breakdown

All pricing dimensions including caching and batch discounts.

Type	Price (per 1M tokens)	Note
Input	$1.1000	Standard input tokens
Output	$4.4000	Generated output tokens
Cached input	$0.2750	Reused prompt content

Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-10-31 · OpenAI official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

o4-mini vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

Model	Per call	vs o4-mini
o4-mini OpenAI · this page	$0.003300	—
GPT-6 Luna OpenAI	$0.000350	−89%
Claude Haiku 5.5 Anthropic	$0.000350	−89%
DeepSeek V3.2 DeepSeek	$0.000480	−85%
GPT-5.6 Luna OpenAI	$0.000800	−76%
DeepSeek V4-Flash DeepSeek	$0.000900	−73%

Recommended use

When to choose o4-mini

o4-mini shines for complex multi-step reasoning, code generation and review, mathematical problem-solving, and scientific research and analysis. Token counts on this page are exact via the official tokenizer.

✓Context window of 200K tokens handles long conversations and large documents.

✓Prompt caching available — significant savings for repeated system prompts.

✓Tool / function calling supported.

FAQ

Frequently asked questions

o4-mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0033. Use the calculator above to estimate your specific use case.

o4-mini supports a 200K token context window with a max output of 100,000 tokens. Knowledge cutoff: 2024-10.

Yes. Cached input is priced at $0.28 per 1M tokens — 75% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.

Yes, o4-mini accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to OpenAI's official documentation.

Token counts for o4-mini use the official o200k_base tokenizer (exact). Cost calculations use the prices verified on 2026-10-31. For final billing accuracy, always verify with OpenAI's usage dashboard.

o4-mini does not currently support fine-tuning. Consider another model in the OpenAI family if fine-tuning is required.