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AI123AI ModelsopenaiGPT-5.5
GPT-5.5

GPT-5.5

openai

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 context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Modalities
TT
Input / output price
$5/$30per 1M tokens
Context
1.1M
Released
2026-04-24
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache readWeb search
$5.00/ 1M tokensOver 272K: $10.00 / 1M tokens$30.00/ 1M tokensOver 272K: $45.00 / 1M tokens$0.50/ 1M tokensOver 272K: $1.00 / 1M tokens$0.01/ request

Artificial Analysis

Explore rankings
38.4

Intelligence index

Outperforms 85% of compared models

74.9

Coding index

Outperforms 91% of compared models

36.4

Agentic index

Outperforms 73% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1194; Asciiart: 1253; Code Categories: 1259; Data Visualization: 1263; Game Development: 1291; SVG: 1232; UI Component: 1254; Website: 12563D1194 EloAsciiart1253 EloCode Categories1259 EloData Visualization1263 EloGame Development1291 EloSVG1232 EloUI Component1254 EloWebsite1256 Elo

Model Arena

Asciiart

1253Elo

Win rate 58%

SVG

1232Elo

Win rate 54.9%

Game Development

1291Elo

Win rate 56.6%

Data Visualization

1263Elo

Win rate 55.2%

Code Categories

1259Elo

Win rate 52.9%

UI Component

1254Elo

Win rate 53.2%

Website

1256Elo

Win rate 52.2%

3D

1194Elo

Win rate 49.3%

Agent Arena

Agenticslides

1150Elo

Win rate 43.5%

Agenticslides(python-pptx)

1155Elo

Win rate 45.2%

Pptxslides

1157Elo

Win rate 45.3%

Agentichtmlslides

1084Elo

Win rate 34.2%

Agenticslides(html)

1077Elo

Win rate 33.2%

Agenticgamedev

1143Elo

Win rate 52.4%

Python-pptxslides

1152Elo

Win rate 43.3%

Godotgamedev

1173Elo

Win rate 52.3%

Androidnative

1162Elo

Win rate 50.9%

Htmlslides

963Elo

Win rate 35.6%

Fullstack

1089Elo

Win rate 43%

Mobile Apps

1142Elo

Win rate 50.4%

Webapps

1117Elo

Win rate 42.6%

How Design Arena works

Related Models

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GPT-6 Astra

openai

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

Context
1.1M
Max output
128K
Released
2026-09-04
Input
$10/M
Output
$50/M
Cache read
$1/M
GPT-6.1 Sol

GPT-6.1 Sol

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GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Context
1.1M
Max output
128K
Released
2026-09-29
Input
$2/M
Output
$10/M
Cache read
$0.1/M
GPT-6.1 Terra

GPT-6.1 Terra

openai

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

Context
1.1M
Max output
128K
Released
2026-10-26
Input
$1/M
Output
$5/M
Cache read
$0.05/M
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