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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 modelMistral Small 3 24B (2501)MistralRemove
ProvideramazonMistral
Discovery tierEfficientOpen weights
AddedDec 3, 2024Sep 10, 2026
Limits
Context window300KBest32.77K
Max output5.12K8.19KBest
Average output44 tokens403 tokens
Pricing, USD per 1M tokens
Input$0.0595Best$0.12
Output$0.24Best$0.35
Benchmark indexes
Intelligence Index6.76.7
Math Index7.0Best4.3
Capabilities
ToolsNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Amazon Nova Lite 1.0
  • Mistral Small 3 24B (2501)

Intelligence Index

  • Amazon Nova Lite 1.06.7
  • Mistral Small 3 24B (2501)6.7

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: 7.0Top
    • Mistral Small 3 24B (2501): 4.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Amazon Nova Lite 1.0: 19.0%Top
    • Mistral Small 3 24B (2501): 0.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Amazon Nova Lite 1.0: 4.3%Top
    • Mistral Small 3 24B (2501): 3.8%

  • GPQA Diamond

    Graduate-level science questions

    • Amazon Nova Lite 1.0: 43.3%
    • Mistral Small 3 24B (2501): 46.2%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Amazon Nova Lite 1.0: 59.0%
    • Mistral Small 3 24B (2501): 65.2%Top

  • IFBench

    Following precise output instructions

    • Amazon Nova Lite 1.0: 34.1%Top
    • Mistral Small 3 24B (2501): 26.4%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Amazon Nova Lite 1.0: 16.7%
    • Mistral Small 3 24B (2501): 25.2%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Amazon Nova Lite 1.0: 7.0%Top
    • Mistral Small 3 24B (2501): 4.3%

  • AIME

    Competition mathematics

    • Amazon Nova Lite 1.0: 10.7%Top
    • Mistral Small 3 24B (2501): 8.0%

  • MATH-500

    Competition math problems

    • Amazon Nova Lite 1.0: 76.5%Top
    • Mistral Small 3 24B (2501): 71.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Amazon Nova Lite 1.0: 0.8%
    • Mistral Small 3 24B (2501): —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Amazon Nova Lite 1.0: 17.5%
    • Mistral Small 3 24B (2501): 19.6%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Amazon Nova Lite 1.0: 19.0%Top
    • Mistral Small 3 24B (2501): 0.0%

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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