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GPT-5.5 Pro API Pricing & Cost Calculator

GPT-5.5 Pro is priced at $30 input / $180 output per 1M tokens with a 1M context window and 128K max output, and cached input at $3/1M. A 1,000-in / 500-out call costs $0.12000.

Input
$30.00
per 1M tokens
Output
$180.00
per 1M tokens
Context window
1.05M
tokens
Listed here
2026-08
✓ Exact tokenizer·$30.00 in·$180.00 out (per 1M)
Quick start with a use case
Total cost per call$0.1200
Input$0.0300
Output$0.0900
Cost comparison
Standard
$0.1200
With Caching
$0.1065
Save 11% ↓
With Batch
$0.0600
Save 50% ↓
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

GPT-5.5 Pro pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$30.0000
Output$180.00
Cached input$3.0000
Batch input$15.0000
Batch output$90.0000
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

GPT-5.5 Pro vs alternatives

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

ModelPer call
GPT-5.5 Pro
OpenAI · this page
$0.1200
GPT-6 Luna
OpenAI
$0.000350
Claude Haiku 5.5
Anthropic
$0.000350
DeepSeek V3.2
DeepSeek
$0.000480
GPT-5.6 Luna
OpenAI
$0.000800
DeepSeek V4-Flash
DeepSeek
$0.000900
Recommended use

When to choose GPT-5.5 Pro

GPT-5.5 Pro shines for complex multi-step reasoning, code generation and review, long documents and large codebases, and image and document understanding. Token counts on this page are exact via the official tokenizer.

✓Context window of 1.05M tokens handles entire codebases or book-length documents.
✓Prompt caching available — significant savings for repeated system prompts.
✓Batch API support for non-realtime workloads at ~50% discount.
✓Tool / function calling supported.
FAQ

Frequently asked questions

GPT-5.5 Pro costs $30.00 per 1M input tokens and $180.00 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.1200. Use the calculator above to estimate your specific use case.
GPT-5.5 Pro supports a 1.05M token context window with a max output of 128,000 tokens.
Yes. Cached input is priced at $3.00 per 1M tokens — 90% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.
Yes. GPT-5.5 Pro supports the Batch API at $15.00 input / $90.00 output per 1M tokens — typically 50% off standard pricing. Batch jobs complete within ~24 hours, ideal for non-realtime workloads like overnight data processing or content generation pipelines.
Yes, GPT-5.5 Pro 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 GPT-5.5 Pro 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.
GPT-5.5 Pro does not currently support fine-tuning. Consider another model in the OpenAI family if fine-tuning is required.
Related

Other models you might consider

OpenAI
GPT-6 Luna
The cheapest model on this site — with a 922K context window
$0.10 in$0.50 out
Anthropic
Claude Haiku 5.5
$0.10/$0.50 — but only for prompts up to 100K tokens
$0.10 in$0.50 out
DeepSeek
DeepSeek V3.2
DeepSeek's open-weight MoE — top cost/quality ratio
$0.28 in$0.40 out
OpenAI
GPT-5.6 Luna
The cheapest long-context model OpenAI ships — 20x under the flagship
$0.20 in$1.20 out
DeepSeek
DeepSeek V4-Flash
1M context at budget pricing — $0.30/$1.20
$0.30 in$1.20 out