GPT-5.5 Cost Calculator

OpenAI's flagship reasoning model. $5 input / $30 output per 1M tokens, with a 1M context window.

GPT-5.5 launched in April 2026 with state-of-the-art results on Terminal-Bench (82.7%), MCP Atlas, and live coding benchmarks. At $5 input / $30 output per 1M tokens with a 1-million-token context window, OpenAI undercuts Claude Opus 4.7 on raw token economics while matching it on most agentic tasks.

For high-stakes research and long-horizon refactors, GPT-5.5 Pro is available at $30 input / $180 output per 1M. Both models support batch and flex pricing at 50% off and prompt caching at 90% off cached reads — model this in the calculator below.

Models included

GPT-5.5 Pro (OpenAI) — $30.00 input / $180.00 output per 1M tokens · 1M context window
GPT-5.5 (OpenAI) — $5.00 input / $30.00 output per 1M tokens · 1M context window
GPT-5.4 (OpenAI) — $2.50 input / $15.00 output per 1M tokens · 1.05M context window

Frequently asked questions

How much does GPT-5.5 cost?

GPT-5.5 costs $5 per million input tokens and $30 per million output tokens. GPT-5.5 Pro costs $30 input / $180 output per 1M.

Is GPT-5.5 worth the upgrade from GPT-5?

For reasoning-heavy tasks (multi-step research, complex coding refactors, long-horizon agents) GPT-5.5 typically wins on quality per dollar despite the higher headline price. For routine chat, GPT-5 or GPT-5 mini is more cost-effective.

What is the GPT-5.5 context window?

GPT-5.5 and GPT-5.5 Pro both support a 1,000,000-token context window. In Codex, GPT-5.5 also offers a Fast mode that emits tokens 1.5× faster for 2.5× the cost.

How does GPT-5.5 compare to Claude Opus 4.7?

GPT-5.5 ($5/$30) is cheaper on input but more expensive on output than Claude Opus 4.7 ($5/$25). For typical 4:1 input/output workloads GPT-5.5 ends up about 10–15% pricier. Quality is task-dependent — see the comparison page below.