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OpenAI · Model guide

GPT-5.5 Pro

openai/gpt-5.5-pro
Modalities
TextImageText
Context
1M
Max output
128K
GPT-5.5 Pro

The flagship variant with more compute for the hardest work

Context window
1.05M
tokens
Max output
128K
tokens
Recommended API
Responses
background mode
Deep reasoning
Complex code review, research synthesis, critical business calls
Verification
Carry constraints across documents, code paths, and repeated checks
High-value work
Prioritize stability, evidence, and answer quality over latency

Best suited to background mode, long-running reasoning, and tasks that need one request to keep a full evidence chain intact.

Overview

GPT-5.5 Pro is the high-compute member of OpenAI's GPT-5.5 family. It is not positioned as a separate modality tier or a larger-context SKU; it is the version to choose when a single request is valuable enough to trade latency for deeper reasoning, more careful verification, and stronger persistence on hard work.

OpenAI notes that GPT-5.5 Pro requests can take minutes, which makes the Responses API and background mode a natural fit. In CrossModel it keeps the same headline shape as GPT-5.5: 1,050,000 tokens of context, 128,000 output tokens, text and image input, text output, reasoning tokens, and the same tool-oriented API surface.

Key capabilities

DimensionDetail
Context window1,050,000 tokens
Max output128,000 tokens
Input modalitiesText, image
Output modalitiesText
Best API fitResponses API with background mode for long-running tasks

GPT-5.5 Pro does not provide a cached-input discount. Current pricing is kept in the live model catalog, not duplicated in this article.

Pro positioning

Pro Positioning

Not a larger window, but more willingness to spend compute

GPT-5.5
Daily flagship
Default balance of quality, speed, and tool use
GPT-5.5 Pro
High compute
For the most complex and valuable single tasks
Long requests
Minutes
Use background mode

GPT-5.5 Pro inherits GPT-5.5 long-context and tool strengths, then aims them at harder, slower, more reliable work.

The simplest way to decide between GPT-5.5 and GPT-5.5 Pro is to ask whether the model should optimize for a crisp answer now or for maximum confidence after more work. GPT-5.5 is the daily flagship for coding, research, and professional output. GPT-5.5 Pro is better reserved for architecture reviews, migration plans, security analysis, contract-heavy comparisons, and research synthesis where the cost of a shallow answer is high.

For product design, that means Pro should rarely sit behind every autocomplete or chat turn. It works better as an escalation target: collect the evidence with cheaper calls, hand the difficult bundle to Pro, and let one long-running request produce the final judgment.

Inherited GPT-5.5 baseline

Inherited Strengths

Pro starts from GPT-5.5 gains on long tasks

Terminal-Bench 2.0
82.7%
agentic coding
MRCR v2 512K-1M
74.0%
GPT-5.4: 36.6%
Expert-SWE
73.1%
long-horizon coding

These GPT-5.5 launch metrics explain why Pro is a fit for long-context, multi-tool, multi-step verification.

Pro's value depends on the GPT-5.5 baseline. OpenAI reports GPT-5.5 at 82.7% on Terminal-Bench 2.0, 58.6% on SWE-Bench Pro, and a major long-context retrieval gain on MRCR v2 8-needle in the 512K-1M range: 74.0% versus GPT-5.4 at 36.6%. Those are exactly the axes where Pro's extra compute matters: long context, tool coordination, and real engineering loops.

When to use it

  • Critical code and architecture review: cross-module correctness, permissions, concurrency, migration risk, and test gaps.
  • Long evidence synthesis: combine research packets, contracts, design docs, financial models, and meeting notes into one grounded decision.
  • Security and compliance analysis: slow, careful reasoning over high-risk findings with explicit assumptions and audit trails.
  • Background agents: tasks that may run for minutes and should return a complete, verified deliverable instead of a quick draft.

CrossModel exposes GPT-5.5 Pro through an OpenAI-compatible API. Current pricing is available in the model catalog.