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const axios = require('axios');
const fs = require('fs');
const path = require('path');
// helper function to help you convert your local images into base64 format
async function toB64(imgPath) {
const data = fs.readFileSync(path.resolve(imgPath));
return Buffer.from(data).toString('base64');
}
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/gpt-5.5";
const data = {
"messages": [
{
"role": "user",
"content" : "tell me a joke on cats"
},
{
"role": "assistant",
"content" : "here is a joke about cats..."
},
{
"role": "user",
"content" : "now a joke on dogs"
},
]
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
An array of objects containing the role and content
Could be "user", "assistant" or "system".
A string containing the user's query or the assistant's response.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
GPT 5.5 — Large Language Model
What is GPT 5.5?
GPT 5.5 is OpenAI's flagship frontier language model, released in April 2026. It combines advanced chain-of-thought reasoning, native vision capabilities, and a 1M+ token context window into a single synchronous API endpoint — making it one of the most capable models available for enterprise-grade AI workflows.
Available through the Segmind API at /v1/gpt-5.5, GPT 5.5 accepts both text and image inputs, making it suitable for everything from autonomous coding pipelines to multi-document research synthesis. It is purpose-built for complex, multi-step workflows requiring minimal human prompting — scoring 82.7% on Terminal-Bench 2.0, OpenAI's most decisive benchmark for agentic CLI task execution.
Key Features
- 1M+ token context window (922K input / 128K output) — process entire codebases, legal contracts, or research corpora in a single API call
- Native vision — analyze technical diagrams, screenshots, charts, and mixed-media documents natively
- Five reasoning effort levels — tune compute intensity vs. latency per task type
- 40% token efficiency gain over GPT-5.4 — complex tasks cost ~20% more despite higher per-token rates
- Synchronous API — direct JSON response with no polling required
- Strongest safety safeguards in the GPT-5.x series
Best Use Cases
- Autonomous coding agents: terminal workflow planning, issue resolution, test prediction — 82.7% on Terminal-Bench 2.0
- Scientific and technical research: drug discovery, multi-document synthesis, lab report interpretation
- Multimodal document understanding: PDFs with mixed diagrams, charts, and structured tables (88.3% on MMMU benchmark)
- Long-context analysis: contract review, codebase refactoring, literature surveys using the full 1M context
- Enterprise automation: multi-step software operation, spreadsheet and document generation, online research
Prompt Tips and Output Quality
For best results, give GPT 5.5 clear multi-step instructions in a single prompt — it handles complex chained reasoning natively. For vision tasks, pass the image URL in the image parameter and include a specific extraction question in prompt. Use structured output requests (e.g., "Return a JSON array with fields: title, summary, category") for downstream processing. For reasoning-heavy tasks, explicitly ask the model to think through the problem step by step before giving a final answer.
GPT 5.5 uses 72% fewer output tokens than Claude Opus 4.7 on equivalent coding tasks — making it especially cost-efficient for high-volume pipelines.
FAQs
What is GPT 5.5? GPT 5.5 is OpenAI's frontier language model with a 1M+ token context window, native vision, and advanced agentic reasoning — available via the Segmind API.
How does GPT 5.5 differ from GPT 5.4? GPT 5.5 delivers 40% higher token efficiency, stronger autonomous performance (especially on multi-step agentic workflows), and improved multimodal reasoning compared to GPT-5.4.
Can GPT 5.5 analyze images?
Yes — pass an image URL in the image parameter. GPT 5.5 handles diagrams, screenshots, charts, and mixed-media documents with near-human accuracy.
How does GPT 5.5 compare to Claude Opus 4.7? GPT 5.5 leads on agentic benchmarks (Terminal-Bench 2.0: 82.7%) and uses 72% fewer output tokens. Claude Opus 4.7 edges ahead on pure code correctness (SWE-bench). For speed-critical agentic pipelines, GPT 5.5 is typically the better fit.
What is the context window for GPT 5.5? The context window is 1M+ tokens — approximately 922K input tokens and 128K output tokens — ideal for large-scale document processing.
Is GPT 5.5 available via API?
Yes — access GPT 5.5 via the Segmind API at https://api.segmind.com/v1/gpt-5.5 using your Segmind API key.
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