OpenAI: GPT-5.5
gpt-5.5- Input / Output
- $5.00 / $30.00
- Context
- 1.05M
- Max output
- 128K
- Modalities
- VisionChat
- Capabilities
- Tool usePrompt CacheReasoning
About GPT-5.5
GPT-5.5 is OpenAI's flagship for the most complex professional work, including coding. It takes text and images, returns text, and offers five reasoning effort levels with medium as the default. Its knowledge extends to December 2025. Tools include computer use, hosted shell, patch application, MCP, web search, and file search.
Where it works well
- Default effort is medium, with none through xhigh available.
- Knowledge reaches December 2025, later than GPT-5.4.
- Tool list covers computer use, hosted shell, patch application, and MCP.
- Supports prompt caching and structured outputs.
When to choose another model
- GPT-5.5 Pro is the better pick for the hardest questions, at a cost in speed.
- It returns text only, never images or audio.
- Defaulting to medium effort costs more latency than a none default on simple calls.
Getting started
Create API key
Create a key in Console, then use it with every model on the platform.
Send your first request
Copy the example for your language and run it against the endpoint.
Text to textResponses APIPOST/v1/responsesAPI format:curl https://api.tokenlab.sh/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-xxx" \ -d '{ "model": "gpt-5.5", "input": "Hello!" }'
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Input tokens <= 272K
per 1M tokens- Official price
- Input $5.00 / Output $30.00 / Cache read $0.50
- Verified price
- —
- Discount
- —
Input tokens 272K-1.05M
per 1M tokens- Official price
- Input $10.00 / Output $45.00 / Cache read $1.00
- Verified price
- —
- Discount
- —
Cache read
- Official price
- $0.50
- Verified price
- —
- Discount
- —
Charged per call, only when the model uses the tool.
Web search
- Official price
- $0.01/search
- Verified price
- —
- Discount
- —
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Input tokens <= 272K | Input $5.00 / Output $30.00 / Cache read $0.50 | — | — |
| Input tokens 272K-1.05M | Input $10.00 / Output $45.00 / Cache read $1.00 | — | — |
| Prompt cache pricing | |||
| Cache read | $0.50 | — | — |
| Tool feesCharged per call, only when the model uses the tool. | |||
| Web search | $0.01/search | — | — |
Usage & activity
Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.
Usage & availability
Last 24 hours- Requests
- Success rate
- P95 latency
- Total tokens
- 30-day success rate
- 89.7%
- 7-day median latency
- 21.8sn=429
- 7-day P95 latency
- 123.6sn=429
- 30-day requests
- 2K+
- Last active
- 3 hours ago
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open GPT-5.5 in Console with a prompt ready to edit or send.
Help me try gpt-5.5 with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Best for- Code
- Reasoning
- Vision
Software engineering agents
Plan, edit, and test changes across large repositories, running tests and shell commands as it goes.
Computer use
Operate desktop and web applications from screenshots when the target system offers no API.
Knowledge work
Draft analyses, reports, and briefs from long inputs with the reasoning effort chosen per task.
Research
Use web and file search to build sourced summaries of a topic from live pages and attached documents.
Prompt examples
Migrate the checkout service from callbacks to async/await and keep every test passing.
Gather last quarter's churn figures from these files and write a two-page summary.
Open the admin console and export the user list filtered to inactive accounts.
This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.
FAQ
What is OpenAI's GPT-5.5 model?
GPT-5.5 is OpenAI's flagship model for the most complex professional work, including coding, with reasoning effort you can set per request. Images may be attached to the prompt; the reply is text.
What knowledge cutoff does GPT-5.5 have?
OpenAI lists December 1, 2025 as the knowledge cutoff, so events after that date need web search or supplied context in the prompt. Within its training window it answers without extra help.
What reasoning levels does GPT-5.5 offer?
None, low, medium, high, and xhigh. Medium is the default, so set none for fast simple turns and xhigh for the hardest problems. Run your tasks at medium first, then move up or down based on results.
Does GPT-5.5 support computer use?
Yes. Computer use is a listed tool, together with hosted shell, patch application, web search, and MCP, so it can operate software and edit code in one session.
How does GPT-5.5 differ from GPT-5.5 Pro?
Pro uses more compute, defaults to high effort, and targets slower, precision-heavy work. GPT-5.5 is the faster general flagship for most production traffic. Evaluate both on your own tasks before committing.
How much does GPT-5.5 cost?
On TokenLab, GPT-5.5 costs Input $5.00 / Output $30.00 per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the context window and output limit of GPT-5.5?
GPT-5.5 accepts up to 1,050,000 tokens of context and returns up to 128,000 tokens in one response.
Which endpoint should GPT-5.5 use?
Use https://api.tokenlab.sh/v1/responses for GPT-5.5. The request example below shows the matching code shape.
Which operations does GPT-5.5 support?
GPT-5.5 supports Text to text. Select an operation above to see its endpoint and request example.
Compare GPT-5.5
Guides that use GPT-5.5
Sources
Reviewed Oct 2, 2026
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