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Amazon: Nova Lite 1.0

Amazon Nova Lite 1.0 is a multimodal model from Amazon that accepts both text and image inputs. It offers a 300,000-token context window, supports tool use, and caps output at 5,120 tokens per response. It does not support reasoning modes, and structured output support is unconfirmed, so buyers who need those features should look elsewhere before committing. At $0.06 per million input tokens and $0.24 per million output tokens, it sits at the budget end of multimodal pricing, which makes it worth considering for high-volume document or image processing workloads where cost control matters. The caveat is real: there is no independent benchmark coverage to validate quality claims, so teams with quality-sensitive use cases are essentially evaluating it blind. Developers running low-stakes, cost-sensitive pipelines may find it worth trialing, but those who need proven benchmark performance should wait for third-party results.

Quality Score
94/100
price + capability + benchmarks
Input Price
$0.06
per 1M tokens
Output Price
$0.24
per 1M tokens
Context Window
300,000
tokens
Model ID
amazon/nova-lite-v1
Vendor
amazon
Released
December 2024
Tokenizer
Nova
Input Modalities
text, image
Output Modalities
text
Max Output
5,120 tokens
Tool Calling
✓ supported
Structured Output
not supported
Reasoning Mode
not supported
Vision
✓ accepts images
Audio
no
Moderated
yes

What it costs in practice

Computed from the current $0.06/M input and $0.24/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.04
A month of a busy support chatbot 5M in / 2M out $0.78

Similar models

Quick answers

How much does Amazon: Nova Lite 1.0 cost?
$0.06 per million input tokens and $0.24 per million output tokens.
What is Amazon: Nova Lite 1.0's context window?
300,000 tokens, roughly 450 pages of text in a single request.
Does Amazon: Nova Lite 1.0 support tool calling?
It supports tool calling.
Can Amazon: Nova Lite 1.0 process images?
Yes, it accepts image input.