GPT-5.5 — API Pricing & Benchmarks

GPT-5.5 is OpenAI's previous-generation reasoning model, released in 2026-04. The API costs $5.00 per 1M input tokens and $30.0 per 1M output tokens ($11.3 blended at a 3:1 ratio), with cached input at $0.50. It supports a 1.1M-token context window. On the independently measured Artificial Analysis Intelligence Index it scores 56.3, ranking #16 of 68 models tracked on this site, with a median output speed of 66 tokens/sec.

Explore provider routes and additional benchmark sources for GPT-5.5

ProviderOpenAI
Input price / 1M tokens$5.00
Output price / 1M tokens$30.0
Cached input / 1M tokens$0.50
Blended price (3:1)$11.3
Context window1.1M
Max output tokens128K
Knowledge cutoff2025-12
Licenseproprietary
Input modalitiesT+I
Output speed (tok/s)66
Released2026-04
Artificial Analysis Intelligence Index56.3
LMArena Elo1472
GPQA Diamond93.5%
AIME100%*
SWE-bench Verified88.7%*
Humanity's Last Exam45.8%
MMMU81.2%

Where GPT-5.5 fits

On a blended 3:1 basis GPT-5.5 costs $11.3 per 1M tokens, cheaper than 6% of the 80 priced models in this index. It is a previous-generation model: usually only worth choosing if you have an existing integration, negotiated pricing, or need its specific behavior, since newer siblings offer better price-performance. Measured output speed of 66 tokens/sec is below the index median of 104 — typical of reasoning-heavy models, and worth checking against interactive latency budgets. Cached input is priced at $0.50 (90% below standard input), which rewards prompt structures with long stable prefixes — see our caching guide.

Price history

PeriodInput $/1MOutput $/1MCached $/1M
2026-07-18 → current$5.00$30.0$0.50

No list-price changes recorded since tracking began. Full dataset: price-history.json (CC BY 4.0).

Alternatives at a similar price

About OpenAI

OpenAI builds the GPT series. GPT-6 Astra (September 2026) sits at the top at $10/$50, and beneath it the GPT-5.6 generation ships in three sizes — Sol, Terra and Luna — that share the same 1.05M-token context window and tooling, so teams can move workloads between price points without changing integration code.

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