GPT-5.5

API Model ID:gpt-5.5

Frontier multimodal foundation model balancing complex reasoning with cost.

#Multimodal#Vision#Audio#Reasoning#Versatile

Deploy with Gruvo All Models

Context Window500K tokens500,000 tokens

Max Output48K tokens48,000 tokens

Input Price$2.00per 1M input tokens

Output Price$8.00per 1M output tokens

Latency / Speed~110ms125 tokens/sec

Overview & Architecture

GPT-5.5 represents the balanced multimodal backbone of modern AI stacks. Combining broad multi-discipline knowledge, multimodal audio and vision inputs, and steady reasoning, GPT-5.5 is suitable for applications that demand both high analytical rigor and reasonable per-token expenditure.

ArchitectureUnified Omni-Modal Dense Transformer

Knowledge IndexCurrent (Continuously Indexed)

Benchmark Highlights

MMLU-Pro88.2%

General academic problem solving

MMMU74.6%

Multi-discipline multimodal reasoning

SWE-bench Lite54.1%

Software patch generation

Supported Capabilities

Function Calling / Tools

Supported

Vision & Image Inputs

Supported

Audio & Voice Inputs

Supported

Structured JSON Mode

Supported

System Prompts

Supported

Streaming Completions

Supported

Prompt Caching

Supported

Engineering Strengths

Consistent, versatile performance across text, image, and audio modalities
Dependable tool use and JSON Schema structuring
Cost-efficient alternative to top-tier reasoning engines
Strong cross-lingual translation and localization accuracy

Recommended Production Workloads

Multimodal document extraction and visual UI auditing
General customer service assistants and automated support workflows
Content generation, summarization, and interactive learning

Execute via Gruvo

Unified Endpoint

Connect through Gruvo with OpenAI-compatible client libraries. Gruvo translates requests, manages provider streaming, and applies caching automatically.

import OpenAI from "openai";

// Configure client with Gruvo's unified AI gateway
const gruvo = new OpenAI({
  baseURL: "https://api.gruvo.ai/v1",
  apiKey: process.env.GRUVO_API_KEY,
  defaultHeaders: {
    "X-Gruvo-Provider": "openai",
  },
});

const completion = await gruvo.chat.completions.create({
  model: "gpt-5.5",
  messages: [
    { role: "system", content: "You are a production reasoning assistant." },
    { role: "user", content: "Analyze the architecture of our service." },
  ],
  temperature: 0.2,
});

console.log(completion.choices[0].message.content);