name = "GPT-5.5"
description = "Default frontier GPT for coding, computer use, research, and knowledge work"
family = "gpt"
release_date = "2026-04-23"
last_updated = "2026-04-23"
attachment = true
reasoning = true
temperature = false
tool_call = true
structured_output = true
knowledge = "2025-12-01"
open_weights = false

[limit]
context = 1_050_000
input = 922_000
output = 128_000

[modalities]
input = ["text", "image", "pdf"]
output = ["text"]

[[benchmarks]]
name = "SWE-Bench Pro"
score = 58.6
metric = "resolve rate"
source = "https://www.anthropic.com/news/claude-opus-4-8"
date = "2026-05-28"

[[benchmarks]]
name = "Terminal-Bench"
score = 78.2
metric = "success rate"
harness = "Terminus-2"
version = "2.1"
source = "https://www.anthropic.com/news/claude-opus-4-8"
date = "2026-05-28"

[[benchmarks]]
name = "SWE-Atlas Codebase QnA"
score = 45.43
metric = "score"
harness = "Codex"
source = "https://labs.scale.com/leaderboard/sweatlas-qna"

[[benchmarks]]
name = "SWE-Atlas Refactoring"
score = 44.79
metric = "score"
harness = "Codex"
source = "https://labs.scale.com/leaderboard/sweatlas-refactoring"

[[benchmarks]]
name = "SWE-Atlas Test Writing"
score = 42.59
metric = "score"
harness = "Codex"
source = "https://labs.scale.com/leaderboard/sweatlas-tw"

[[benchmarks]]
name = "Artificial Analysis Coding Agent Index"
score = 65.3
metric = "average pass@1"
harness = "Codex"
variant = "xhigh"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "SWE-Atlas Codebase QnA"
score = 80.8
metric = "pass@1"
harness = "Codex"
variant = "xhigh"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "SWE-Bench Pro"
score = 30.9
metric = "pass@1"
harness = "Codex"
variant = "xhigh"
dataset = "hard-aa"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "Terminal-Bench"
score = 84.1
metric = "pass@1"
harness = "Codex"
variant = "xhigh"
version = "2.1"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "Artificial Analysis Coding Agent Index"
score = 60.4
metric = "average pass@1"
harness = "Codex"
variant = "medium"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "SWE-Atlas Codebase QnA"
score = 79.1
metric = "pass@1"
harness = "Codex"
variant = "medium"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "SWE-Bench Pro"
score = 26.2
metric = "pass@1"
harness = "Codex"
variant = "medium"
dataset = "hard-aa"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "Terminal-Bench"
score = 75.8
metric = "pass@1"
harness = "Codex"
variant = "medium"
version = "2.1"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "Artificial Analysis Coding Agent Index"
score = 57.8
metric = "average pass@1"
harness = "Cursor CLI"
variant = "medium"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "SWE-Atlas Codebase QnA"
score = 75
metric = "pass@1"
harness = "Cursor CLI"
variant = "medium"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "SWE-Bench Pro"
score = 24.9
metric = "pass@1"
harness = "Cursor CLI"
variant = "medium"
dataset = "hard-aa"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "Terminal-Bench"
score = 73.4
metric = "pass@1"
harness = "Cursor CLI"
variant = "medium"
version = "2.1"
source = "https://artificialanalysis.ai/agents/coding-agents"

[[benchmarks]]
name = "Terminal-Bench"
score = 82.7
metric = "success rate"
version = "2.0"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "GPQA Diamond"
score = 93.6
metric = "accuracy"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "Humanity's Last Exam"
score = 41.4
metric = "accuracy"
variant = "no tools"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "Humanity's Last Exam"
score = 52.2
metric = "accuracy"
variant = "with tools"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "OSWorld-Verified"
score = 78.7
metric = "success rate"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "BrowseComp"
score = 84.4
metric = "accuracy"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "MMMU Pro"
score = 81.2
metric = "accuracy"
variant = "no tools"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "ARC-AGI-2"
score = 85.0
metric = "accuracy"
variant = "Verified"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "FrontierMath"
score = 51.7
metric = "accuracy"
dataset = "Tier 1-3"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "FrontierMath"
score = 35.4
metric = "accuracy"
dataset = "Tier 4"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "GDPval"
score = 84.9
metric = "wins or ties"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "MCP Atlas"
score = 75.3
metric = "success rate"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "Toolathlon"
score = 55.6
metric = "success rate"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"

[[benchmarks]]
name = "τ²-Bench Telecom"
score = 98.0
metric = "success rate"
variant = "original prompts"
source = "https://openai.com/index/introducing-gpt-5-5/"
date = "2026-04-23"