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Amazon Nova Pro / Lite / Micro – Amazon AWS AI

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Amazon AWS AI

Amazon Nova Pro / Lite / Micro is a First-party LLM from Amazon AWS AI (United States).

One-line fit: best used for AWS-native apps, cost control.

Key specifications

Provider Amazon AWS AI
Model Amazon Nova Pro / Lite / Micro
Type First-party LLM
Context window Large
Pricing (indicative) Aggressive AWS pricing
Company category Hyperscaler / Models
Region United States
Official site https://aws.amazon.com/ai/

Benchmarks and public standing

Competitive mid-tier public cards

Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.

What this model is good at

AWS-native apps, cost control

This aligns with Amazon AWS AI’s broader strengths:

  • Bedrock multi-vendor hosting
  • AWS enterprise gravity
  • Cost-optimized Nova
  • RAG on AWS data

Limitations and watch-outs

Not usual #1 hard SWE public benches

  • Rate limits, regional availability, and data retention policies vary by plan.
  • Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
  • Open-weight availability (if any) is separate from hosted API quality and safety filters.

Ideal users

  • Product engineers shipping features that match: AWS-native apps, cost control
  • Teams standardizing on the Amazon AWS AI ecosystem
  • Agent builders who need a First-party LLM

When to pick something else

  • Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
  • Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
  • Giant multimodal corpora / Workspace: compare Gemini-class models.
  • Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.

Parent company

Amazon AWS AI – Bedrock multi-model platform, Amazon Nova and Titan families, Alexa and enterprise AI services.

Related models from Amazon AWS AI

Data is curated for AIForumSphere model directory mid-2026 directional figures.

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