Amazon

Amazon Nova

Maker
Amazon
Origin
United States
Released
Dec 3, 2024

Strengths & weaknesses

  • Deeply integrated with AWS Bedrock and the broader AWS stack
  • Competitive cost and speed for multimodal, high-throughput workloads
  • Trails frontier labs on the hardest reasoning benchmarks
  • Most compelling only if you're already committed to AWS

Evaluation

Awaiting evaluation
  • Answer groundingw30

    No independent measurement yet

  • Citationsw20

    No independent measurement yet

  • Integrationsw20

    No independent measurement yet

  • Governancew15

    No independent measurement yet

  • Cost efficiencyw15

    No independent measurement yet

w = weight, each criterion’s share of the overall score. Missing marks don’t count for or against. How scoring works

Enterprise fit

Highest-ROI use cases

Where Amazon Nova fits inside a company, ranked by the strength of published ROI evidence for each use case.

All 100 enterprise use cases →
  1. 01
    Strategy, consulting, finance
    • Built for this kind of work (Search & Enterprise)
  2. 02
    Operations, legal, finance back office
    • Built for this kind of work (Search & Enterprise)

More in Search & Enterprise

View all →
Perplexity AI
  • Real-time web synthesis with inline, checkable citation links
  • Fast, research-focused interface built around multi-query workflows
  • Reasoning depth is shallower than frontier general-purpose models
  • Built for web research rather than analysing large private document sets
Google
  • Purpose-built, cited Q&A grounded strictly in your own uploaded sources
  • Generates useful audio-summary overviews from documents
  • Narrow by design; not a general-purpose assistant
  • Answers only from sources in the notebook, so web material has to be imported first
Cohere
  • Runs efficiently on minimal hardware thanks to a mixture-of-experts design
  • Strong multilingual coverage across 48 languages, tuned for enterprise RAG
  • Built for enterprise retrieval and agents rather than general consumer chat
  • Smaller enterprise track record than the largest cloud AI vendors
Glean
  • Connects to 275+ enterprise apps with near real-time permission enforcement
  • Flexible deployment (SaaS, VPC, or self-hosted) with a choice of 35+ underlying models
  • Needs upfront setup and integration work across many source systems
  • Value depends heavily on how much of the enterprise stack you connect it to