GPT-5.5 vs o4-mini — Side-by-side pricing
Side-by-side API pricing and tokenizer details for GPT-5.5 (OpenAI) and o4-mini (OpenAI).
Side-by-side pricing
| Feature | GPT-5.5 | o4-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input (per 1M tokens) | $5.00 | $1.10 |
| Output (per 1M tokens) | $30.00 | $4.40 |
| Long-context pricing | Over 272K tokens: $10.00 in / $45.00 out | Flat rate at any prompt size |
| Context caching | Yes — 90% off cached tokens | No |
| Batch API discount | 50% off | 50% off |
| Context window | 1.1M tokens | 200K tokens |
| Tokenizer | o200k_base (tiktoken) | o200k_base (tiktoken) |
ⓘ o4-mini: Deprecated by OpenAI. API access shuts down 2026-10-23; calls will error after that date. Prices are no longer listed on OpenAI's pricing page and could not be re-verified from a vendor source.
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
GPT-5.5
$8.5000
Input: $2.5000 +Output: $6.0000
o4-mini
$1.4300
Input: $0.5500 +Output: $0.8800
o4-mini is 83% cheaper for this workload — saving $7.0700 per month at this volume.
Frequently asked questions
No, o4-mini is cheaper for the typical workload above. At $1.10/1M input and $4.40/1M output tokens, it costs $1.4300 versus $8.5000 for GPT-5.5 — a 83% difference. Note that GPT-5.5 switches to long-context pricing above 272K prompt tokens, so for very long prompts this gap does not scale linearly.
GPT-5.5 supports a 1.1M token context window. o4-mini supports a 200K token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
GPT-5.5 supports context caching (90% off repeated tokens). It offers a 50% Batch API discount. o4-mini does not support context caching. It offers a 50% Batch API discount.
Yes, both GPT-5.5 and o4-mini use the o200k_base (tiktoken). The same text produces identical token counts on both models, so any cost difference is purely due to the rate each provider charges per token.
GPT-5.5 (OpenAI): $5 input / $30 output per 1M tokens. o4-mini (OpenAI): $1.1 input / $4.4 output per 1M tokens. Rates shown before caching or batch discounts.
For an 80% output / 20% input workload — typical for code generation or long-form writing — GPT-5.5 costs $25.0000 per 1M total tokens and o4-mini costs $3.7400. o4-mini is 85% cheaper for this pattern. For your exact ratio, paste a real prompt into the calculator above.
GPT-5.5 has a 1.1M-token context window — approximately 788K words or ~3K pages of standard text. o4-mini has a 200K-token context window — approximately 150K words or ~600 pages. (Estimates assume ~0.75 words per token.)
Calculate costs for your actual prompt
Paste your prompt into the calculator and get exact token counts using each model's real tokenizer — all in your browser.
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