GPT 5.5
OpenAI's flagship reasoning chat model — long-context, vision-capable, streamed, with the full range of reasoning effort from instant replies to X-High deliberation.
Capabilities
| Feature | Support |
|---|---|
| Chat (text-to-text) | Yes, streaming |
| Vision (image understanding) | Yes — up to 10 connected images |
| Document references | Yes — up to 100 text/document inputs |
| Context Window | 1,050,000 tokens |
| Max Output | 128,000 tokens |
| Reasoning Effort | None / Low / Medium / High / X-High |
Chat Nodes on the Canvas
Same wiring as the Claude models: add an AI Chat node, connect images and text upstream as context, and iterate in the node's conversation. Downstream nodes can consume the reply — e.g. feed a generated shot list into a GPT Image 2 Agent node, which uses GPT 5.5 internally as its planner.
The Widest Effort Range
GPT 5.5 spans None through X-High in one model:
- None — instant conversational replies, no reasoning pass.
- Low / Medium — everyday writing and analysis.
- High / X-High — deep planning, complex constraint problems, meticulous long-document review.
That makes it a good single-model default if you'd rather move a slider than switch models.
What It's Best At
- Structured planning — shot lists, production breakdowns, prompt engineering for the image/video models.
- Instruction-dense tasks — long briefs with many explicit constraints.
- Second opinions — cross-check a Claude draft's logic (different model family, different blind spots).
Limitations
- Text out only — chain to image/video nodes for rendering
- No audio understanding
See Also
- Claude Opus 4.6 / Claude Fable 5 — the Anthropic alternatives
- GPT Image 2 Agent — GPT 5.5 as an image-sequence planner