GPT-5.5

OpenAI - gpt-5.5

8.2/10

Provisional 0 practitioner reviews Source verified

Data source: This model page uses public provider documentation, pricing/context data, benchmark signals where available, and manual curation. Practitioner reviews are listed separately below and do not change the score until approved.

Context window

1,050,000 tokens

Input price

$5/1M

Output price

$30/1M

Checked

May 16, 2026

Pricing caveat: Standard API pricing below 272K input tokens; long-context requests above that threshold are priced higher.

Decision Notes

Best for

  • - Hard coding and multi-step agent tasks where quality matters more than unit cost
  • - Long-context professional work that benefits from a 1M-token window
  • - Teams already standardized on OpenAI tools such as Responses, file search, code interpreter, and hosted tools

Avoid when

  • - High-volume workflows where output-token cost dominates margin
  • - Latency-sensitive UI loops where a smaller model is good enough

Cost example

1M input tokens plus 200K output tokens costs about $11.00 before caching or long-context uplifts.

Dimension Breakdown

Tool Calling 10/10

Reliability of function/tool calling — correct schema adherence and parameter extraction

Cost Efficiency 5/10

Price per token relative to output quality for agent tasks

Latency 7/10

Response time — time to first token and total generation time under load

API Reliability 9/10

Uptime, rate limit headroom, and error rates in production

Context Quality 10/10

Long-context coherence and instruction following over turns

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Top Use Cases

Coding Financial General

Summary

OpenAI frontier model for complex coding and professional agent work. Treat it as a premium-quality candidate, not the default for cost-sensitive production volume.

Sources

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Last updated: May 16, 2026