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OpenAI

GPT-5.5: price, context window, and caching

OpenAI's April 2026 flagship for coding and professional work, now a previous generation that stays in the API.

Released April 23, 2026 · Prices as of September 28, 2026

In OpenAI’s words

“A new class of intelligence for coding and professional work.”

OpenAI docs: GPT-5.5

What OpenAI says it’s good at

  • Strong results with fewer reasoning tokens than earlier models at the same effort Source
  • Complex coding that needs planning, tool use, codebase navigation, verification, and multi-step execution Source
  • Precise tool use on large tool surfaces and long-running agent tasks Source

Facts

Specs and prices

FactGPT-5.5
MakerOpenAI
API model idgpt-5.5
ReleasedApril 23, 2026
StatusPrevious generation
Context window1.05M tokens
Max output128K tokens
Open weightsNo
Input, per 1M tokens$5
Cache hit, per 1M$0.50
Cache write, per 1M$5 (same as input)
Output, per 1M tokens$30
Runs inCodex, Cursor, OpenCode, OpenRouter, and GitHub Copilot

Standard API rates in US dollars, as published by the maker on September 28, 2026. Batch and priority tiers, taxes, and subscription plans are not included. GPT-5.5: Prompts over 272K input tokens cost 2x for input and 1.5x for output, for the full session.

Good to know

  • It leaves ChatGPT and Codex sign-in on October 14, 2026, and stays in the API.

Cost

What typical work costs

Example token counts at GPT-5.5’s published rates. On the agentic session, caching saves $9.00 against billing every token as ordinary input.

Example workload costs for GPT-5.5
Agentic coding session, 100K input, 400K written to cache, 2M read from cache, 50K output$5.00
Large one-off review, 150K input with no cache hits, 10K output$1.05
Output-heavy generation, 30K input, 80K output$2.55
A month of sessions, 110 sessions: 5 a day, 22 working days$550.00

Prompt caching

How OpenAI bills cached tokens

OpenAI

Prompt caching is on by default. From GPT-5.6 on you can also mark up to four explicit cache breakpoints, while GPT-5.5 and earlier cache automatically only.

From GPT-5.6 on, a cache write costs 1.25x the uncached input price and a cache hit costs 0.1x. GPT-5.5 and earlier add no charge for writing the cache: written tokens are billed as ordinary input, and a hit costs 0.1x on the models compared here.

On GPT-5.6 and later, a cached prefix stays reusable for at least 30 minutes after its last use, and caching starts at 1,024 input tokens.

Source: OpenAI: Prompt caching

GPT-5.5 compared

  • Claude Opus 4.8 vs GPT-5.5

    Claude Opus 4.8 and GPT-5.5 share a $5 input price, yet GPT-5.5 costs less on cached sessions and Opus 4.8 less on output-heavy work. Where the crossover falls.

  • Claude Opus 5.5 vs GPT-5.5

    Claude Opus 5.5 undercuts GPT-5.5 on input, output, and cache hits, yet a cached coding session is only 12% cheaper. GPT-5.5 leaves Codex sign-in soon.

  • Claude Sonnet 5 vs GPT-5.5

    GPT-5.5 costs 2.5x Claude Sonnet 5 for input and 3x for output, and it leaves ChatGPT and Codex sign-in on October 14, 2026. What that means for coding.

  • GPT-5.5 vs Gemini 3.1 Pro Preview

    GPT-5.5 costs 2.5x as much as Gemini 3.1 Pro Preview on every rate and every workload. Where they differ instead: output limits, long prompts, and access.

  • GPT-5.5 vs GPT-5.4

    GPT-5.5 costs exactly twice GPT-5.4 on every rate, and both are leaving Codex sign-in. What the 2x gap means for API users and where Codex points instead.

  • GPT-5.6 Sol vs GPT-5.5

    GPT-5.6 Sol cuts GPT-5.5's rates but adds a 1.25x charge for cache writes. Why the session gap is 16%, not 20%, and what changes on October 14.

  • GPT-6 Astra vs GPT-5.5

    GPT-6 Astra doubles GPT-5.5's input price and adds a 1.25x cache-write charge GPT-5.5 never had. What that does to agentic sessions and to Codex.

Your own numbers

See what GPT-5.5 really costs you.

everyaitoken reads your Codex, Cursor, OpenCode, and OpenRouter history on your Mac and prices every request at API rates, with what caching saved or cost. $9 once.

Launching soonSee the cache math