Identity
- Type
- big tech
- Country label
- USA
- HQ country
- USA
- Founding country
- USA
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
AutoGluon 1.5tabular2026
Chronos-2time series20 Oct 2025
Mitratabular2025
Chronostime seriesMar 2024
WinCLIPAmazon, KAISTvision26 Mar 2023
AlexaTM 20BLLM2 Aug 2022
PatchCorevision15 Jun 2021
ResNeStMeta, Amazonvision19 Apr 2020
MQ-RNN and MQ-CNNtime series29 Nov 2017
DeepARtime series13 Apr 2017
Chronos-Bolttime series–
NovaLLM–
Nova 2.0 OmniLLM–
Nova 2.0 Pro PreviewLLM–
Nova 2 Litereasoning–
Nova 2 Sonicspeech synthesis–
Nova ActLLM–
Nova ForgeLLM–
Nova LiteLLM–
Nova MicroLLM–
Nova PremierLLM–
Nova ProLLM–
Amazon Titan Text Embeddings V2embedding–
Amazon Nova Canvasimage generation–
Amazon Nova Reelvideo generation–Links
Organisation
Amazonbig tech, USA
Amazonbig tech, USAModels
AutoGluon 1.5Amazon, tabular
Chronos-2Amazon, time series
MitraAmazon, tabular
ChronosAmazon, time series+21 more
AutoGluon 1.5Amazon, tabular
Chronos-2Amazon, time series
MitraAmazon, tabular
ChronosAmazon, time series+21 moreModels 25
NovaAmazon, LLMDeveloper
Chronos-2Amazon, time seriesDeveloper
Nova ActAmazon, LLMDeveloper
ChronosAmazon, time seriesDeveloper
Chronos-BoltAmazon, time seriesDeveloper
Nova 2 LiteAmazon, reasoningDeveloper
Nova 2.0 OmniAmazon, LLMDeveloper
Amazon Nova CanvasAmazon, image generationDeveloper
Amazon Nova ReelAmazon, video generationDeveloper
Amazon Titan Text Embeddings V2Amazon, embeddingDeveloper
MQ-RNN and MQ-CNNAmazon, time seriesDeveloper
Nova 2 SonicAmazon, speech synthesisDeveloper+13
Nova 2.0 Pro PreviewAmazon, LLMDeveloper
Nova LiteAmazon, LLMDeveloper
Nova MicroAmazon, LLMDeveloper
Nova PremierAmazon, LLMDeveloper
Nova ProAmazon, LLMDeveloper
PatchCoreAmazon, visionDeveloper
ResNeStMeta, Amazon, visionDeveloper
WinCLIPAmazon, KAIST, visionDeveloper
AlexaTM 20BAmazon, LLMDeveloper
AutoGluon 1.5Amazon, tabularDeveloper
DeepARAmazon, time seriesDeveloper
MitraAmazon, tabularDeveloper
Nova ForgeAmazon, LLMDeveloperScores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| Artificial Analysis Intelligence Index | Nova 2.0 Omni | 14 index | independent | asterisk on page |
| Artificial Analysis Intelligence Index | Nova 2.0 Pro Preview | 14 index | independent | medium; asterisk on page |
| Chronos Benchmark II | Chronos-2 | rank only | vendor-reported | Claims SOTA zero-shot |
| fev-bench | Chronos-2 | rank only | vendor-reported | Claims SOTA |
| GIFT-Eval | Chronos-2 | rank only | vendor-reported | Claims first among pretrained models, beating TimesFM-2.5 and TiRex |
| GIFT-Eval | Chronos-2 | 0.485 CRPS (geo-mean, normalised to Seasonal Naive) | independent | pretrained; rank is average CRPS rank |
| GIFT-Eval | Chronos-2 | 0.698 MASE (geo-mean, normalised to Seasonal Naive) | independent | pretrained |
| GIFT-Eval | Chronos-2 | 23.5 mean CRPS rank | vendor-reported | zero-shot foundation-model CRPS rank, lower is better |
| TabArena | AutoGluon 1.5 | 1,700 Elo | maintainer-run | extreme, 4h |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- Amazon Nova foundation models – frontier intelligence and industry leading price-performance aws.amazon.com https://aws.amazon.com/nova/
- Regional availability by models - Amazon Bedrock docs.aws.amazon.com https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html
- Models - Docs - Kiro kiro.dev https://kiro.dev/docs/models/
- amazon/chronos-2 , Hugging Face huggingface.co https://huggingface.co/amazon/chronos-2
- The state of Tabular Foundation Models (2026) mindfulmodeler.substack.com https://mindfulmodeler.substack.com/p/the-state-of-tabular-foundation-models
- Models at a glance - Amazon Bedrock docs.aws.amazon.com https://docs.aws.amazon.com/bedrock/latest/userguide/model-cards.html
- Vault AI | Agentic AI in Vault Platform & AI Agents in Veeva Applications veeva.com https://www.veeva.com/products/veeva-ai/
- Introducing Chronos-2: From univariate to universal forecasting amazon.science https://www.amazon.science/blog/introducing-chronos-2-from-univariate-to-universal-forecasting
- Chronos: Learning the Language of Time Series arxiv.org https://arxiv.org/abs/2403.07815
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Amazon", https://aurion.semai.id/organisations/amazon/, records of October 2026.


