
Levelmodel
ClassLLM
Parametersnot in the notes
Context1,000,000
Released23 Apr 2026
Opennessproprietary
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reported
BenchLM long-context compositelong context
Composite of vendor-reported scoresvendor-reported
85.3
04590
Score in index. Higher is better.
rank 1, BenchLM aggregator, top score
FinanceBenchdomain
Aggregator score, not comparable to paper setup; not independently confirmedvendor-reported
91
050100
Score in %. Higher is better.
rank 1
SWE-bench Procoding
vendor-reported
58.6
050100
Score in %. Higher is better.
Terminal-Bench 2.0agents and tool use
vendor-reported
82.7
050100
Score in %. Higher is better.
vendor-reported
82
050100
Score in %. Higher is better.
rank 1, BenchLM aggregator, top score
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
successor
GPT-5.4 is the parent (successor)medium confidencenotes
GPT-5.6 Sol is a child (successor)medium confidencenotesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 5 models. Confidence and evidence are the notes' own.
Industry Use Cases
Finance
Financial document QAHealthcare
Ambient clinical scribingR&D Topics
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes Not disclosed
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- 1,000,000 tokens
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- proprietary
- Licence
- Proprietary sources
- Access routes
- API
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Links
Developer
OpenAIfrontier lab, USA
OpenAIfrontier lab, USAModel
GPT-5.5OpenAI, LLM
GPT-5.5OpenAI, LLMR&D TopicsFrontier Pretraining Scaling
Who Runs It
AbridgeIn production, 8 Jan 2026
AmbienceIn production, 8 Jan 2026
EMC Healthcare (seven hospitals); also named as adopters: Prodia, EKA Hospital, Pondok Indah Group, Tzu Chi Hospital, Asia One Healthcare, Bali International HospitalIn production, Nov 2025
Abridge (300+ health systems)In productionDeployments of these use cases; none names this model.
AbridgeIn production, 8 Jan 2026
AmbienceIn production, 8 Jan 2026
EMC Healthcare (seven hospitals); also named as adopters: Prodia, EKA Hospital, Pondok Indah Group, Tzu Chi Hospital, Asia One Healthcare, Bali International HospitalIn production, Nov 2025
Abridge (300+ health systems)In productionDeployments of these use cases; none names this model.Organisations 1
Sources
- OpenAI Releases GPT-5.5: Agentic Coding Ceiling Tops 14 Benchmarks rits.shanghai.nyu.edu https://rits.shanghai.nyu.edu/ai/openai-releases-gpt-5-5-agentic-coding-ceiling-tops-14-benchmarks/
- Supported AI models in GitHub Copilot - GitHub Docs docs.github.com https://docs.github.com/en/copilot/reference/ai-models/supported-models
- Terminal-Bench 2.0 Leaderboard & Scores , October 2026 benchlm.ai https://www.benchlm.ai/benchmarks/terminal-bench-2
- Best Long Context AI Models (October 2026) , Ranked by Benchmark Data benchlm.ai https://benchlm.ai/best/long-context
- Generative AI for Clinical Conversations | Abridge abridge.com https://www.abridge.com/
- FinanceBench: 81% of Answers Were Wrong capitalandcompute.net https://capitalandcompute.net/ai-benchmarks/financebench/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "GPT-5.5", https://aurion.semai.id/models/openai-gpt-5-5/, records of October 2026.