WolfAI

Model · OpenAI

GPT-5.5

OpenAI's current frontier model for reasoning, coding, and professional work.

Provider
OpenAI
Family
GPT-5
Context window
1,050,000 tokens
Modality
text, vision, tool use
Knowledge cutoff
December 2025
Last updated
2026-05-19

At a glance

GPT-5.5 is OpenAI's current frontier general model, strong at reasoning, code, tool use, and long-context professional work. It is a common pair with Claude in routed stacks — using each where it performs best.

Strengths

  • Strong reasoning and code performance
  • Broad tool-use and function-calling ecosystem
  • 1M-token context for large professional and coding workflows

Weaknesses

  • Pricing and throughput limits vary — verify per workload
  • Not always the best at Claude-specific instruction styles

Best for

  • Reasoning and code tasks in OpenAI-native stacks
  • Tool-use agents with many function-call steps
  • Cross-provider fallback when Claude rate-limits

GPT-5.5 vs Claude Opus 4.7

GPT-5.5 and Claude Opus 4.7 are the two frontier models most teams evaluate against each other. Both reason well; they have different response shapes and different strengths on edge-case tasks. In a production router you do not need to pick one — you can send each request to whichever model performs better on your evals, and fall back cross-provider if one rate-limits.

When GPT-5.5 is the right pick

GPT-5.5 is the right default when you are already in the OpenAI ecosystem, when you need OpenAI-hosted tools such as web search, file search, image generation, or code interpreter, or when your evals show GPT-5.5 beats Claude on your particular task distribution.

Frequently asked questions

Is GPT-5.5 better than Claude Opus 4.7?

It depends on the task. Both are flagship reasoning models and trade wins across benchmarks. For production systems, the right answer is to run your own evals and let a router pick per-request instead of committing to a single model.

Can I use GPT-5.5 alongside Claude in one stack?

Yes — that is exactly what a model router is for. WolfAI runs mixed Claude/GPT stacks where each request goes to whichever model wins on quality, latency, or cost for that particular task.