multimodal LLM
Gemini 3.5 Flash
Gemini Flash model of May 2026; retired from Copilot 2026-10-02.
Levelmodel
Classmultimodal LLM
Parametersnot in the notes
Contextnot in the notes
ReleasedMay 2026
Opennessproprietary
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reported
vendor-reported
37
050100
Score in %. Higher is better.
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
successorfinetune
Gemini 3.6 Flash is a child (successor)medium confidencenotesGemini Robotics-ER 2 is a child (finetune)medium confidencepress claimWhere 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.
R&D Topics
Identity
- Developer
- Google DeepMind
- Family
- Gemini
- Released
- May 2026 sourcesnotes
- Weights published
- –
- Record checked
- 10 Oct 2026
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
- not in the notes
- 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.
Industry Use Cases
No industry use case links this model.
Links
ModelGemini 3.5 FlashGoogle DeepMind, multimodal LLM
Gemini 3.5 FlashGoogle DeepMind, multimodal LLMR&D TopicsFrontier Pretraining Scaling
Use CasesIndustrial Copilots and Maintenance AssistantsIndustrialClinical LLM (Frontier Proprietary)HealthcarePharma Documents, Regulatory and Life-Science R&DHealthcareAmbient Clinical ScribingHealthcare+2 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026+39 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026+39 moreDeployments of these use cases; none names this model.Models 3
Organisations 1
Sources
- Models | Gemini API | Google AI for Developers ai.google.dev https://ai.google.dev/gemini-api/docs/models
- Gemini 3.6 Flash in Antigravity: Agentic Coding Guide noqta.tn https://noqta.tn/en/blog/gemini-3-6-flash-antigravity-agentic-coding-2026
- Supported AI models in GitHub Copilot - GitHub Docs docs.github.com https://docs.github.com/en/copilot/reference/ai-models/supported-models
- aiwiki.ai/wiki/gemini_robotics_2 https://aiwiki.ai/wiki/gemini_robotics_2
- ai.google.dev/gemini-api/docs/models/gemini-3.5-flash https://ai.google.dev/gemini-api/docs/models/gemini-3.5-flash
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemini 3.5 Flash", https://aurion.semai.id/models/google-deepmind-gemini-3-5-flash/, records of October 2026.