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GPT-5.5

GPT-5.5 is a premium model with ultra-long context support, suited to general reasoning and coding for enterprise teams.

Try GPT-5.5 with your team

Last reviewed: 2026-04-10

Context Window
1,050,000
Input / 1M
$5.00
Output / 1M
$30.00

Why this model

OpenAI lists GPT-5.5 as an ultra-long context option with $5.00 per 1M tokens input pricing, $30.00 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • GPT-5.5 offers ultra-long context capacity for enterprise prompts and documents.
  • Current pricing band is premium: $5.00 per 1M tokens input and $30.00 per 1M tokens output.
  • Best-fit workloads include: General reasoning, Coding, Enterprise assistants.
  • Keep role-based access in place before broad rollout.

At a glance

Model ID
openai/gpt-5.5
Context Window
1,050,000 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$5.00 per 1M tokens
Output Price
$30.00 per 1M tokens
Provider
OpenAI
Listing Date
2026-03-25

Strengths

  • GPT-5.5 is suited for general reasoning.
  • 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

  • Operational drift can appear over time without recurring quality evaluations.
  • 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 for complex analysis and long-form decision support.
  • GPT-5.5 for internal productivity assistants and knowledge workflows.
  • GPT-5.5 for internal productivity assistants and knowledge workflows.
  • GPT-5.5 for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where GPT-5.5 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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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 FAQs

Choose GPT-5.5 when the workload aligns with general reasoning, coding, enterprise assistants 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 with your team