ARCHIVE PRICELEGACY MODEL128KTEXT + VISIONPROMPT CACHING
GPT-4o mini API Pricing
GPT-4o mini is a legacy cheap-tier OpenAI model at $0.15/$0.60 per million tokens. $0.15/M input, $0.6/M output, and $0.075/M cached input. It remains important for old cost baselines and migration math toward GPT-5.4 mini.
Archived input - per 1M tokens
$0.15/M
Source OpenAI legacy
Archived output - per 1M tokens
$0.60/M
Use for invoice checks legacy
Cached input
$0.07/M
Cache hit price discounted
Effective - agentic blend
$0.13/M
92/8 split - 82% cache
§ 01 / TERMINAL
Run the numbers.
Archive calculator pre-loaded with GPT-4o mini rates. Tweak spend, output mix, or cache hit rate to compare legacy bills with current replacements.
$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
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Words equivalent (English)
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Effective rate
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§ 02 / SCENARIOS
Real-world presets.
CODING AGENT ARCHIVE
Repo-wide bug fix
$0.011/task
LONG DOC ANALYSIS
Reading 100-page contracts
$0.020/doc
RAG SUPPORT
Support agent ticket triage
$0.001/ticket
ASSISTANT TURN
Research planning turn
$0.002/turn
§ 03 / TAPE
Price history.
Input · $0.15/M
Output · $0.60/M
Cached · $0.07/M
JUL 18 Launch at $0.15/M input and $0.60/M outputMAY 18 Legacy row; recommended replacement is GPT-5.4 mini
§ 04 / TOKENIZER
Paste text. See tokens. See cost.
Estimate · tiktoken-cl100k_base · ≈4 chars/token Auto-counts as you type
This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.
Characters —
Words —
Tokens (estimated) —
Cost as input · uncached —
Cost as output · uncached —
Cost as cached input —
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| GPT-4o mini | $0.15 cache $0.07 | $0.60 | $0.13 current page | 128K | Legacy cheap OpenAI workloads |
| GPT-5.5 | $5.00 cache $0.50 | $30.00 | $3.60 pricier | 1M | Current replacement workloads |
| GPT-5.4 | $2.50 cache $0.25 | $15.00 | $1.80 pricier | 1.05M | Current replacement workloads |
| GPT-5.4 mini | $0.75 cache $0.07 | $4.50 | $0.54 pricier | 400K | Current replacement workloads |
| Claude Sonnet 4.6 | $3.00 cache $0.30 | $15.00 | $1.92 pricier | 1M | Legacy Claude production baselines |
| Gemini 2.5 Pro | $1.25 cache $0.13 | $10.00 | $1.10 pricier | 2M | Gemini long-context work |
| DeepSeek V4 Pro | $0.43 cache $0.00 | $0.87 | $0.14 pricier | 1M | Low-cost reasoning and coding |
Frequently asked.
Short answers for teams checking GPT-4o mini pricing, status, and migration choices.
Q · 01 Is GPT-4o mini still available? +
It is a legacy model. Check OpenAI's current pricing page before starting new production traffic.
Q · 02 How much did GPT-4o mini cost? +
GPT-4o mini is listed here at $0.15/M input and $0.6/M output.
Q · 03 Is cached-input pricing included? +
Yes. Cached input is shown at $0.075/M.
Q · 04 What should teams use instead? +
For new work, compare against
gpt-5-4-mini and other current rows in the shelf.Q · 05 Why keep this archive page? +
Archive pages preserve old price baselines, help explain invoice history, and capture migration search demand without implying the model is the best current choice.