LLM Reference

Amazon Nova 2 Lite

Released
2026-03-01
Last refreshed
2026-05-22
Status
Researched 45d ago
ProprietaryCommercial use with conditionsMultimodalRAGAgentsLong contextVisionJSON / Tool use

Amazon Nova 2 Lite is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 1m context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Released
2026-03-01
Context
1m
Architecture
Decoder Only
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use with conditions
Training
pretrained
Created by

Democratizing AI for all businesses

Seattle, Washington, United States
Founded 2006
Website
Pricing
Output / 1M
$2.50
Input / 1M
$0.300

Cheapest of 1 route · Vercel AI Gateway · cache read $0.075

About

Amazon Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that processes text, images, and videos at 1M token context with improved reasoning over Nova Lite v1.

Amazon Nova 2 Lite is a proprietary model in the Amazon Nova family. The structured metadata tracks a 1m-token context window, multimodal input, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through Vercel AI Gateway, with the cheapest tracked route listed at $0.3 input and $2.5 output per 1M tokens. Headline tracked benchmarks include MMMU Pro 61.8.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Vercel AI Gateway$0.300$2.50read $0.075
Serverless

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MMMU Pro61.8LLM-Stats aggregatorhttps://llm-stats.com/benchmarks/mmmu-pro

Migration checks

No linked migration route is available for this model yet.