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GPT-5.5 Pro

GPT-5.5 Pro is a premium model with ultra-long context support, suited to high-stakes outputs and algorithmic design for enterprise teams.

Try GPT-5.5 Pro with your team

Last reviewed: 2026-04-10

Context Window
1,050,000
Input / 1M
$30.00
Output / 1M
$180.00

Why this model

OpenAI lists GPT-5.5 Pro as an ultra-long context option with $30.00 per 1M tokens input pricing, $180.00 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • GPT-5.5 Pro offers ultra-long context capacity for enterprise prompts and documents.
  • Current pricing band is premium: $30.00 per 1M tokens input and $180.00 per 1M tokens output.
  • Best-fit workloads include: High-stakes outputs, Algorithmic design, Strategic decision-making.
  • Keep role-based access in place before broad rollout.

At a glance

Model ID
openai/gpt-5.5-pro
Context Window
1,050,000 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$30.00 per 1M tokens
Output Price
$180.00 per 1M tokens
Provider
OpenAI
Listing Date
2026-03-25

Strengths

  • GPT-5.5 Pro is suited for high-stakes outputs.
  • Supports ultra-long context for multi-step prompts and larger working sets.
  • Pricing profile is premium, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Governance controls are still required for regulated or sensitive workflows.
  • Very large context windows can increase token spend variance without strict limits.
  • Premium tiers should be restricted to high-value workflows to avoid unnecessary spend concentration.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • GPT-5.5 Pro for internal productivity assistants and knowledge workflows.
  • GPT-5.5 Pro for internal productivity assistants and knowledge workflows.
  • GPT-5.5 Pro for internal productivity assistants and knowledge workflows.
  • GPT-5.5 Pro for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where GPT-5.5 Pro is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Start with one workflow, then expand after you verify quality and spend.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

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A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

max_tokens

Set completion limits to avoid unpredictable long-output spend.

temperature

Lower temperature for deterministic policy and compliance tasks.

top_p

Use tighter sampling for stable outputs in repeatable operations.

response_format

Prefer structured output where responses feed internal systems.

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What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

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GPT-5.5 Pro FAQs

Choose GPT-5.5 Pro when the workload aligns with high-stakes outputs, algorithmic design, strategic decision-making and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try GPT-5.5 Pro with your team