GPT-5.5 is a top-tier frontier AI model, developed by OpenAI and released in 2026-04. It is best known for real-world software engineering performance, scoring 88.7% on SWE-bench Verified.

Is GPT-5.5 available as an open-weight model?

GPT-5.5 is a proprietary closed-weight model. Its weights are not publicly available — access is through the OpenAI API only.

What benchmarks has GPT-5.5 been evaluated on?

GPT-5.5 has been evaluated on: SWE-bench Verified (88.7%), GPQA Diamond (93.6%), Terminal-Bench (82.7%), HLE (41.4%), AA Intelligence Index (60.2 pts). Scores tagged SR are self-reported by the provider; scores tagged 3P or AA have been independently verified by third parties.

Is GPT-5.5 available in FlowHunt?

Yes — GPT-5.5 is directly available in FlowHunt. You can use it to build AI agents, automated workflows, chatbots, and document processing pipelines without any additional setup.

How does GPT-5.5 compare to other AI models?

You can compare GPT-5.5 against all 24 models tracked on the FlowHunt AI Leaderboard using the sortable benchmark table. The Benchmark Rankings section on this page shows GPT-5.5's position on each benchmark it has been evaluated on.

OpenAI

GPT-5.5

FrontierAvailable in FlowHunt

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GPT-5.5 is a top-tier frontier AI model, developed by OpenAI and released in April 2026. It is a proprietary closed-weight model, available through the OpenAI API. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.

On the FlowHunt AI Leaderboard it is one of 24 tracked models, evaluated across 6 benchmarks. Standout scores: 82.7% on Terminal-Bench (#1 of 8); 88.7% on SWE-bench Verified (#2 of 13); 93.6% on GPQA Diamond (#2 of 14).

GPT-5.5 was released by OpenAI on April 23, 2026 as an iterative refinement of GPT-5. At launch it matched Claude Opus 4.6 on GPQA Diamond at 93.6% and recorded the highest Terminal-Bench score of any model measured — 82.7% — reflecting particular strength in autonomous system administration, shell scripting, and DevOps automation. OpenAI positioned GPT-5.5 as the primary general-purpose model in its API, and it became the default model powering ChatGPT for most users. It also recorded 68.4% on SWE-bench Pro and 88.7% on SWE-bench Verified, placing it among the top three coding models globally.

Note: Highest SWE-bench Verified before Fable 5. Best OpenAI Terminal-Bench score.

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Released: April 2026
Context: 1M tokens
Weights: Closed
Tier: Frontier
Provider: OpenAI

GPT-5.5 Benchmark Rankings

Rank among all 24 models tracked on this leaderboard. SR = self-reported · 3P / AA / C = independently verified.

Benchmark	Score	Rank	Source	What it measures
SWE-bench Verified	88.7%	2 of 13	SR	Real GitHub issue resolution (500 verified issues)
SWE-bench Pro	58.6%	7 of 9	SR	Multi-language, standardised scaffold
GPQA Diamond	93.6%	2 of 14	SR	Graduate-level Google-proof science Q&A
Terminal-Bench	82.7%	1 of 8	SR	Agentic Linux terminal task completion
HLE	41.4%	3 of 6	SR	Humanity's Last Exam (50+ STEM disciplines)
AA Intelligence Index	60.2 pts	2 of 9	AA	Artificial Analysis composite score (independent)

Detailed Benchmark Scores

SWE-V SR

88.7%

Real GitHub issue resolution (500 verified issues)

SWE-Pro SR

58.6%

Multi-language, standardised scaffold

GPQA ◇ SR

93.6%

Graduate-level Google-proof science Q&A

Terminal SR

82.7%

Agentic Linux terminal task completion

HLE SR

41.4%

Humanity's Last Exam (50+ STEM disciplines)

AA Idx AA

60.2 pts

Artificial Analysis composite score (independent)

GPT-5.5 vs. Frontier Peers

Head-to-head benchmark comparison with other Frontier-tier models. Higher is better for all metrics.

Benchmark	GPT-5.5	Claude Opus 4.8	Claude Opus 4.7
SWE-V	88.7%	88.6%	87.6%
SWE-Pro	58.6%	69.2%	64.3%
GPQA ◇	93.6%	93.6%	94.2%
Terminal	82.7%	74.6%	66.1%
HLE	41.4%	—	—
AA Idx	60.2 pts	61.4 pts	57.3 pts

About OpenAI

OpenAI Founded 2015 · San Francisco, CA

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OpenAI was founded in December 2015 as a nonprofit AI research laboratory by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba, with the mission of developing artificial general intelligence (AGI) that benefits all of humanity. In 2019 it created a capped-profit subsidiary, OpenAI LP, to raise institutional capital and scale model training. The company is known for the GPT series of language models (GPT-1 through GPT-5.5), the DALL-E image generation series, Whisper speech recognition, and Sora video generation. OpenAI operates the ChatGPT consumer application, a developer API, and enterprise services through Microsoft Azure. As of 2026 it maintains a close strategic partnership with Microsoft, which is the company's largest investor and cloud provider.

Use Cases

What to Use GPT-5.5 For

Software Engineering: GPT-5.5 scores 88% on SWE-bench Verified — ranked #2 of 13 models tracked here. It resolves real GitHub issues, writes production-quality code across multiple languages, and handles multi-step agentic coding workflows — a strong choice for AI-assisted software development teams.
Scientific & Technical Reasoning: At 93% on GPQA Diamond (#2 of 14 models), GPT-5.5 exceeds the ~65% human PhD-expert baseline on graduate-level biology, chemistry, and physics questions. Use it for scientific literature synthesis, hypothesis evaluation, medical and legal Q&A, and multi-discipline research tasks where deep domain knowledge matters.
Agentic CLI Automation: Scoring 82% on Terminal-Bench (#1 of 8 models), GPT-5.5 is well-suited for agentic DevOps and infrastructure automation. Terminal-Bench measures autonomous completion of Linux shell tasks — package management, file system operations, process control, and multi-step system administration — without human guidance mid-task.
Long-Document & Codebase Analysis: With a 1M-token context window, GPT-5.5 can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.

Strengths & Limitations

Strengths

Strong software engineering — 88% SWE-bench Verified
Graduate-level science reasoning — 93% GPQA Diamond
Agentic Linux / CLI automation — 82% Terminal-Bench
Composite intelligence — 60 pts AA Intelligence Index (independent)
Very long documents and large codebases (1M context)

Limitations

Closed-weight — cannot be self-hosted or fine-tuned on private data

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Frequently asked questions

: GPT-5.5 is a top-tier frontier AI model, developed by OpenAI and released in 2026-04. It is best known for real-world software engineering performance, scoring 88.7% on SWE-bench Verified.
: GPT-5.5 is a proprietary closed-weight model. Its weights are not publicly available — access is through the OpenAI API only.
: GPT-5.5 supports a 1M-token context window, large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
: GPT-5.5 has been evaluated on: SWE-bench Verified (88.7%), GPQA Diamond (93.6%), Terminal-Bench (82.7%), HLE (41.4%), AA Intelligence Index (60.2 pts). Scores tagged SR are self-reported by the provider; scores tagged 3P or AA have been independently verified by third parties.
: Yes — GPT-5.5 is directly available in FlowHunt. You can use it to build AI agents, automated workflows, chatbots, and document processing pipelines without any additional setup.
: You can compare GPT-5.5 against all 24 models tracked on the FlowHunt AI Leaderboard using the sortable benchmark table. The Benchmark Rankings section on this page shows GPT-5.5's position on each benchmark it has been evaluated on.

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