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amazon · Efficient

Amazon Nova Lite 1.0

Added Dec 3, 2024

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Use in the app

Amazon's new lower cost model. Can handle up to 300k input tokens, with faster output but less thorough understanding than Amazon's Nova Pro.

Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.0595
Output
$0.24

Reference prices as published by the model provider. API example

Specifications

Context window
300K
Max output
5.1K
Average output (7 days)
44 tokens
Longer than 3% of 465 models

Side by side

Amazon Nova Lite 1.0 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Amazon Nova Lite 1.0amazonThis modelGemini 2.5 Flash LiteGoogleRemove
ProvideramazonGoogle
Discovery tierEfficientEfficient
AddedDec 3, 2024Jun 17, 2025
Limits
Context window300K1.05MBest
Max output5.12K65.54KBest
Average output44 tokens42 tokens
Pricing, USD per 1M tokens
Input$0.0595Best$0.10
Output$0.24Best$0.40
Cache read—$0.01
Performance
Throughput—392.8 tok/s
Time to first token—0.6 s
Request success (24h)—99.5%
Benchmark indexes
Intelligence Index6.76.7
Math Index7.035.3Best
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Audio inputNoYes
Video inputNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Amazon Nova Lite 1.0
  • Gemini 2.5 Flash Lite

Intelligence Index

  • Amazon Nova Lite 1.06.7
  • Gemini 2.5 Flash Lite6.7

Amazon Nova Lite 1.0: Better than 6% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Amazon Nova Lite 1.0: 7.0
    • Gemini 2.5 Flash Lite: 35.3Top

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Amazon Nova Lite 1.0: 19.0%
    • Gemini 2.5 Flash Lite: 32.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Amazon Nova Lite 1.0: 4.3%Top
    • Gemini 2.5 Flash Lite: 3.7%

  • GPQA Diamond

    Graduate-level science questions

    • Amazon Nova Lite 1.0: 43.3%
    • Gemini 2.5 Flash Lite: 47.4%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Amazon Nova Lite 1.0: 59.0%
    • Gemini 2.5 Flash Lite: 72.4%Top

  • IFBench

    Following precise output instructions

    • Amazon Nova Lite 1.0: 34.1%Top
    • Gemini 2.5 Flash Lite: 31.5%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Amazon Nova Lite 1.0: 16.7%
    • Gemini 2.5 Flash Lite: 40.0%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Amazon Nova Lite 1.0: 7.0%
    • Gemini 2.5 Flash Lite: 35.3%Top

  • AIME

    Competition mathematics

    • Amazon Nova Lite 1.0: 10.7%
    • Gemini 2.5 Flash Lite: 50.0%Top

  • MATH-500

    Competition math problems

    • Amazon Nova Lite 1.0: 76.5%
    • Gemini 2.5 Flash Lite: 92.6%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Amazon Nova Lite 1.0: 0.8%
    • Gemini 2.5 Flash Lite: 2.3%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Amazon Nova Lite 1.0: 17.5%
    • Gemini 2.5 Flash Lite: 19.0%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Amazon Nova Lite 1.0: 19.0%
    • Gemini 2.5 Flash Lite: 32.0%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "amazon/nova-lite-v1",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="amazon/nova-lite-v1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

amazon

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