OpenAI: GPT-5.5

Recommended

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

58.5 Coding Index*#39 Code Mode62.3 tokens/sec*$5.00/1M input tokens
Release Date
April 23, 2026
Context Window
1,050,000 tokens
Max Output
128,000 tokens
Input Modalities
fileimagetext

Try OpenAI: GPT-5.5 in Kilo Code

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Benchmarking OpenAI: GPT-5.5

Coding Performance

Coding benchmarks and performance metrics for development tasks

Coding Benchmarks

BenchmarkScore
AA Coding Index58.5%
SciCode55.9%
TerminalBench Hard59.8%
LCR73.3%
IFBench71.6%

Speed & Efficiency

MetricValue
Output Speed62 tok/s

Performance metrics from Artificial Analysis

PinchBench data · refreshed daily

OpenClaw Benchmarks

PinchBench measures how OpenAI: GPT-5.5 performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

Average score

75.7%

#11 of 41 official models

Average time

190m 53s

22 runs · per OpenClaw task

Average cost

$20.251

Per benchmark run

Autonomous task execution

OpenAI: GPT-5.5 shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.

Compare the full OpenClaw leaderboard on PinchBench or run OpenAI: GPT-5.5 in hosted OpenClaw agents with KiloClaw.

Best models for OpenClaw

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

Mode Rankings (Last Week)

Where this model ranks for each built-in mode

Code

Write, modify, and refactor code

#39

Ask

Get answers and explanations

#72

Debug

Diagnose and fix software issues

#40

Orchestrator

Coordinate tasks across multiple modes

#35

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$5.00
per 1M tokens
Output Tokens
$30.00
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.5000

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Model ID
openai/gpt-5.5
Artificial Analysis Slug
gpt-5-5-high
Created
April 24, 2026
Tokenizer
GPT
Input Modalities
file, image, text
Context Window
1,050,000 tokens
Max Completion Tokens
128,000 tokens
Input Price
$5.00 per 1M tokens
Output Price
$30.00 per 1M tokens
Cache Read Price
$0.50 per 1M tokens
Content Moderation
Enabled

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  1. 1.

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  4. 4.

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