GPT 5.5
GPT-5.5 is the latest generation of large language model developed and released by OpenAI.
Use cases
gpt-5.5 prototyping · gpt-5.5 production workflows
Input
Text, image
Output
Text
Billing
Per token
Start a conversation
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Sign up to get $0.5 in free credits — about 20 free images
Pricing details
Transparent usage-based pricing with no hidden fees.
Detailed Pricing
Tiered pricingUsage-based pricing breakdown
| Spec | Price | Official | Savings |
|---|---|---|---|
| Input/1M tokens | 4 Credits≈$4 | 5 Credits | -20% |
| Output/1M tokens | 24 Credits≈$24 | 30 Credits | -20% |
| Cache Read/1M tokens | 0.4 Credits≈$0.4 | 0.5 Credits | -20% |
| Spec | Price | Official | Savings |
|---|---|---|---|
| Input/1M tokens | 8 Credits≈$8 | 10 Credits | -20% |
| Output/1M tokens | 36 Credits≈$36 | 45 Credits | -20% |
| Cache Read/1M tokens | 0.8 Credits≈$0.8 | 1 Credits | -20% |
Billing Rules
- Output price varies by model, resolution, quality, duration, or token usage.
- Uploaded reference files may be charged separately when supported.
- Add-on capabilities such as web search or image search may be billed per request.
- Token-based models are billed by input and output tokens.
- If the primary route is unavailable, Velokey may automatically switch to a stable fallback route when possible.
- Usage is pay-as-you-go with transparent credit deduction.
* Final cost depends on the generated result.
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Affordable gpt-5.5 API
Access OpenAI's new generation model for coding and professional work on Velokey — a 1.05M-token context, five reasoning-effort levels, and more efficient tool use, with a unified endpoint and below-list pricing for production-grade agents and apps.
Meet gpt-5.5 and its API access
gpt-5.5 is OpenAI's new-generation model built for coding and professional work, with a knowledge cutoff of December 2025. It ships with roughly a 1.05M-token context window and up to 128K tokens of output, and supports image input, function calling, structured outputs, and streaming, plus a rich tool surface including web search, code interpreter, computer use, and MCP.\n\nA defining trait of gpt-5.5 is efficient reasoning: at the same reasoning.effort it typically spends fewer reasoning tokens to finish complex, tool-heavy workflows. Velokey provides an affordable, easy-to-integrate gpt-5.5 API: a unified chat endpoint, a clear request flow, and below-list pricing for production systems, agent pipelines, and automation tools.
1.05M-token long context
Defaults to roughly a 1.05M-token context window with 128K-token output, staying coherent across very long codebases, documents, and conversations. Pair it with prompt caching — static content first, dynamic content last — to cut input cost on long workflows.
View Documentation →
Five reasoning-effort levels, efficient thinking
Tune reasoning depth across none, low, medium (default), high, and xhigh via reasoning.effort, and control output length separately with text.verbosity. At the same effort, gpt-5.5 typically uses fewer reasoning tokens for complex tasks — especially helpful for tool-heavy pipelines.
View Documentation →
Stronger tool use and agentic ability
More reliable on large tool surfaces, multi-step service workflows, and long-running agent tasks, with more precise tool selection and argument specification. Best suited to outcome-first workflows where you give clear goals and success criteria and let the model plan the next steps.
View Documentation →
Multimodal vision and structured outputs
Accepts text and image input (text output) and preserves more visual detail by default, improving reading of images and computer use. Combined with Structured Outputs and function calling, it reliably produces schema-conformant results instead of hand-written schemas in the prompt.
View Documentation →
How to deploy the gpt-5.5 API on Velokey
Get started with just a few steps.
Sign up and get an API Key
Sign in to the Velokey console to generate an API Key that authenticates every request sent to gpt-5.5.
Configure request parameters
Set model to gpt-5-5 and submit messages. Set reasoning.effort per task (medium by default; high for complex agents, xhigh for the hardest async work, low or none when latency matters), and use text.verbosity to control output length.
Integrate and start calling
Send requests to Velokey's unified /v1/chat/completions endpoint to power assistants, agents, and automation, with usage managed in one console.
Real-world use cases for gpt-5.5
From engineering to professional knowledge work, covering many high-autonomy scenarios.
Complex coding & multi-step execution
Fit for complex coding tasks that need planning and multi-step execution, navigating and editing large codebases while staying stable over long runs.
Tool-heavy agents
Built for agents with large tool surfaces, with more precise tool selection and arguments — fit for multi-step service workflows and extended autonomous tasks.
Long-context retrieval & QA
With roughly 1.05M-token context, fit for grounded assistants and retrieval over long documents and knowledge bases.
Product-spec-to-plan
Turns product intent, goals, and constraints into concrete next steps — fit for spec-to-plan planning workflows.
Data & professional analysis
Fit for finance, operations, and other high-reliability data work, pairing with the code interpreter for analysis and modeling.
Research & multi-source synthesis
Combines web search and file search to locate hard-to-find information, research across sources, and synthesize structured conclusions.
Why choose Velokey for gpt-5.5
Discount on list price
Call gpt-5.5 at a lower price on Velokey — pay-as-you-go with no forced subscription, reducing upfront cost.
Unified API interface
One API Key accesses gpt-5.5 and other models — no juggling multiple accounts and keys, simplifying integration.
Complete docs and migration guidance
Endpoint references, parameter details, and migration examples help you quickly adopt reasoning.effort, verbosity, and structured outputs.
Stable and highly available
Automatic failover and stable fallback routes maintain availability when the primary route is down, keeping production reliable.
API Reference
Complete API call examples and parameter descriptions
Endpoint
https://api.velokey.ai/v1/chat/completionsAuthentication
Bearer YOUR_API_KEYRequest Example
curl https://api.velokey.ai/v1/chat/completions \
-X POST \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [{"role": "user", "content": "Hello!"}],
"temperature": 0.7
}'Response Example
{
"id": "req_abc123",
"model": "gpt-5.5",
"created": 1234567890,
"data": { ... }
}gpt-5.5 API FAQ
What is the gpt-5.5 API?
gpt-5.5 is available through Velokey as a chat model. Set model to gpt-5-5 and use the family-specific endpoint.
Which parameters does gpt-5.5 use?
The playground shows the main fields for gpt-5.5, including the model id and the most important generation parameters.
How is gpt-5.5 billed?
Pricing is shown on this page when available, and credits are managed from one Velokey account.
Who should use gpt-5.5?
It fits teams that want to test, compare, and ship AI capabilities through a unified API.
Start building with GPT 5.5 today
Use one API key to access low-cost, stable AI models through Velokey.