GPT-5.5

OpenAIMCP Tool CallReasoning
openai/gpt-5.5Closed API

Default frontier GPT for coding, computer use, research, and knowledge work

Benchmark Pricing$5.00 / 1M in$30.00 / 1M out$0.50 cache read
Context: 1,050,000 tokens•Max Output: 128,000 tokens•Knowledge: 2025-12-01•Released: 2026-04-23

TECHNICAL SPECIFICATIONS

Context Window1,050,0001.1M tokens
Max Output128,000128K tokens
LicenseProprietaryCloud API only
Input Modalities
TextVisionPDF
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ GPT-5.5 natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 1,050,000 tokens, this model can handle extremely large MCP resource manifests, complete database schemas, and multiple active server tool definitions simultaneously without degradation.

STANDARDIZED BENCHMARKS & EVALS

SWE-Bench Proresolve rate
58.6
Terminal-Benchsuccess rate
78.2
SWE-Atlas Codebase QnAscore
45.43
SWE-Atlas Refactoringscore
44.79
SWE-Atlas Test Writingscore
42.59
Artificial Analysis Coding Agent Indexaverage pass@1
65.3
SWE-Atlas Codebase QnApass@1
80.8
SWE-Bench Propass@1
30.9
Terminal-Benchpass@1
84.1
Artificial Analysis Coding Agent Indexaverage pass@1
60.4
SWE-Atlas Codebase QnApass@1
79.1
SWE-Bench Propass@1
26.2
Terminal-Benchpass@1
75.8
Artificial Analysis Coding Agent Indexaverage pass@1
57.8
SWE-Atlas Codebase QnApass@1
75
SWE-Bench Propass@1
24.9
Terminal-Benchpass@1
73.4
Terminal-Benchsuccess rate
82.7
GPQA Diamondaccuracy
93.6
Humanity's Last Examaccuracy
41.4
Humanity's Last Examaccuracy
52.2
OSWorld-Verifiedsuccess rate
78.7
BrowseCompaccuracy
84.4
MMMU Proaccuracy
81.2
ARC-AGI-2accuracy
85
FrontierMathaccuracy
51.7
FrontierMathaccuracy
35.4
GDPvalwins or ties
84.9
MCP Atlassuccess rate
75.3
Toolathlonsuccess rate
55.6
τ²-Bench Telecomsuccess rate
98

API CALL INVOCATION EXAMPLE

// Example: Calling GPT-5.5 via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

const response = await client.chat.completions.create({
  model: "openai/gpt-5.5",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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

PRICING BY PROVIDER

15 providers
OpenAIgpt-5.5
$5.00 / $30.00$0.50 cache
NanoGPTopenai/gpt-5.5
$5.00 / $30.00$0.50 cache
SAP AI Coregpt-5.5
$5.00 / $30.00$0.50 cache
GitHub Copilotgpt-5.5
$5.00 / $30.00$0.50 cache
CrossModelopenai/gpt-5.5
$5.00 / $30.00$0.50 cache
Snowflake Cortexopenai-gpt-5.5
$5.00 / $30.00$0.50 cache
302.AIgpt-5.5
$5.00 / $30.00$0.50 cache
Vivgridgpt-5.5
$5.00 / $30.00$0.50 cache
LLM Gatewayopenai/gpt-5.5
$5.00 / $30.00$0.50 cache
Poeopenai/gpt-5.5
$4.55 / $27.27$0.45 cache
HPC-AIopenai/gpt-5.5
$5.00 / $30.00$0.50 cache
AI/ML APIopenai/gpt-5.5-pro
$41.26 / $247.57
Cloudflare AI Gatewayopenai/gpt-5.5
$5.00 / $30.00
Venice AIopenai-gpt-55
$5.00 / $30.00$0.50 cache
Databricksdatabricks-gpt-5-5
$5.00 / $30.00$0.50 cache

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.50 / 1M tokens, saving up to 90% on repetitive MCP tool definitions and system instructions.

MODEL RESOURCES