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GPT-5.5

Parameters

Undisclosed

Context Length

1M

Modality

Multimodal

Architecture

Undisclosed

License

Proprietary

Release Date

23 Apr 2026

Knowledge Cutoff

-

API Pricing (per 1M)

Input: $5.00 · Output: $30.00

Evaluation Benchmarks

Rank

#19

BenchmarkScoreRank
max

0.82

🥉

3

0.91

5

Graduate-Level QA

GPQA

0.936

5

max

0.82

8

max

0.80

9

LiveBench Average

LiveBench Average
max

0.80

9

max

0.96

10

max

0.90

13

Agent Arena

Agent Arena
max

0.04

Standard

0.01

16

30

General Text

Text Arena
high

1481

Standard

1477

20

25

max

0.75

high

0.72

medium

0.71

low

0.61

Standard

0.56

21

35

36

65

72

Agentic Coding

LiveBench Agentic
max

0.54

28

Web Development

WebDev Arena
max

1512

high

1487

Standard

1455

48

54

59

Agentic Index

Artificial Analysis
max

0.36

high

0.34

medium

0.29

50

54

62

Intelligence Index

Artificial Analysis
max

0.38

high

0.37

medium

0.34

low

0.31

Standard

0.23

59

64

76

91

141

Rankings

Overall Rank

#19

Coding Rank

#20

About GPT-5.5

GPT-5.5 is OpenAI's most capable and efficient frontier model for agentic work, delivering state-of-the-art performance on Terminal-Bench 2.0 (82.7%), SWE-Bench Pro (58.6%), OSWorld-Verified (78.7%), BrowseComp (84.4%), ARC-AGI-2 (85.0%), and FrontierMath Tier 4 (35.4%). Matches GPT-5.4 per-token latency in production while using significantly fewer tokens. Supports text, image, and tool inputs with a 1M context window. Released April 23, 2026 in ChatGPT and Codex; API available as gpt-5.5 at $5/M input and $30/M output tokens.

Technical Specifications

Architecture specifications are undisclosed for proprietary models.

About GPT-5.5

GPT-5.5 is OpenAI's smartest and most intuitive model yet, and the next step toward a new way of getting work done on a computer. It excels at agentic coding, computer use, knowledge work, and scientific research — areas where progress depends on reasoning across context and taking action over time. It matches GPT-5.4 per-token latency in real-world serving while performing at a significantly higher level of intelligence, and uses fewer tokens to complete the same tasks. State-of-the-art on Terminal-Bench 2.0 (82.7%), SWE-Bench Pro (58.6%), OSWorld-Verified (78.7%), and ARC-AGI-2 (85.0%). Features a 1M context window and costs $5/M input tokens and $30/M output tokens. Released April 23, 2026.


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