OpenAI

Chat with GPT-5.5 online

OpenAI's frontier model for the long, careful jobs — a million tokens of context, tools, vision, and time to think.

Trusted by 790,000+ users

1.05M tokens

Context

128,000 tokens

Max output

Deliberate

Speed

Straight from GPT-5.5

Three prompts, three unedited answers, generated on September 2, 2026 through NinjaChat. Click the prompt to copy it and run it yourself.

Prompt

Write a Python function that merges overlapping intervals, plus three short tests. Keep the whole answer under 40 lines of code.

GPT-5.5 answered
def merge_intervals(intervals):
    if not intervals:
        return []

    intervals = sorted(intervals)
    merged = [list(intervals[0])]

    for start, end in intervals[1:]:
        if start <= merged[-1][1]:
            merged[-1][1] = max(merged[-1][1], end)
        else:
            merged.append([start, end])

    return [tuple(interval) for interval in merged]


assert merge_intervals([(1, 3), (2, 6), (8, 10)]) == [(1, 6), (8, 10)]
assert merge_intervals([(5, 7), (1, 2), (2, 4)]) == [(1, 4), (5, 7)]
assert merge_intervals([]) == []

Read: We ran the same 3 prompts on 12 AI models — Unedited answers, latency and price for every model, measured through the NinjaChat API in September 2026.

Served by OpenAI as gpt-5.5. Answers vary run to run; these are one take each, not the best of several.

What you’ll use it for

Complex analysis

Plans, reviews and decisions that need many careful steps.

Large codebases

Multi-file changes with edge cases, run with tools.

Long documents

More than a million tokens of context in one thread.

Vision and files

Screenshots, diagrams, PDFs and spreadsheets in the conversation.

Prompts to steal

Tuned to this model — click any line to copy.

About GPT-5.5

GPT-5.5 is the frontier model OpenAI released on April 24, 2026, built for complex professional workloads: multi-step analysis, large codebases, long documents and agent-style tasks where the model has to plan, use tools and check its own work. On NinjaChat it is included in every plan, alongside GPT-5.6 and the rest of the catalog, with no ChatGPT subscription needed.

What makes 5.5 different from the GPT-5.4 family is headroom. The context window runs past a million tokens with 128K tokens of output, so a whole repository, a contract set or a quarter of research fits in one conversation. It reads images and files, calls tools, and returns structured JSON when you ask, which is why it works as well inside a workflow as it does in a chat window.

In practice GPT-5.5 is the model for the task you would hand a senior colleague: a refactor with edge cases, a plan that has to survive scrutiny, a document that needs arguing with rather than summarizing. It is deliberate rather than quick. For everyday questions a faster model feels better, and NinjaChat keeps both a click apart.

Since July 2026 OpenAI's newest generation is GPT-5.6, split into Sol, Terra and Luna tiers. GPT-5.5 sits between: more capable than Luna and Terra on the hardest problems, priced like Sol on the API, and still the right pick when your prompts and evaluations were tuned for it. Both generations are on NinjaChat, so the practical test is to run the same prompt on each.

How to use GPT-5.5

From zero to your first result in under a minute.

01

Create a NinjaChat account and choose a plan

02

Open chat and pick GPT-5.5 from the model list

03

Give it the whole task and the files, not a fragment

04

Ask for a plan first on big jobs, then say go

05

Compare the answer with GPT-5.6 Sol or Claude Opus 5 in one click

Tips for better results

  • Use 5.5 for the hard part and a faster model for follow-ups
  • Be explicit about output format; it honors it
  • Attach the real files instead of describing them
  • For anything recent, turn on search

GPT-5.5 vs the alternatives

Where it wins, and where it doesn't.

vs GPT-5.6 Sol

Prompts tuned for 5.5 behave exactly as before

Sol is the newer deep-reasoning tier

vs GPT-5.6 Luna

View

Far more depth on hard, multi-step work

Luna is much faster and cheaper for everyday tasks

vs Claude Opus 5

View

OpenAI's tool ecosystem and a larger context window

Opus 5 leads on agentic coding benchmarks

Questions, answered.

Beyond chat — images & video

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GPT-5.5, and 50 more.

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