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amazon · Balanced

Amazon Nova Pro 1.0

Added Dec 3, 2024

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Use in the app

Amazon's new flagship model. Can handle up to 300k input tokens, with comparable performance to ChatGPT and Claude 3.5 Sonnet.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.80
Output
$3.20

Reference prices as published by the model provider. API example

Specifications

Context window
300K
Max output
32K
Average output (7 days)
56 tokens
Longer than 4% of 465 models

Side by side

Amazon Nova Pro 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 Pro 1.0amazonThis modelAmazon Nova 2 LiteamazonRemove
Provideramazonamazon
Discovery tierBalancedEfficient
AddedDec 3, 2024Jan 1, 2024
Limits
Context window300K1MBest
Max output32K65.54KBest
Average output56 tokens—
Pricing, USD per 1M tokens
Input$0.80$0.51Best
Output$3.20Best$4.25
Benchmark indexes
Intelligence Index7.08.7Best
Math Index7.033.7Best
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

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

  • Amazon Nova Pro 1.0
  • Amazon Nova 2 Lite

Intelligence Index

  • Amazon Nova Pro 1.07.0
  • Amazon Nova 2 Lite8.7

Amazon Nova Pro 1.0: Better than 9% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Amazon Nova Pro 1.0: 7.0
    • Amazon Nova 2 Lite: 33.7Top

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Amazon Nova Pro 1.0: 21.0%Top
    • Amazon Nova 2 Lite: 18.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Amazon Nova Pro 1.0: 3.2%Top
    • Amazon Nova 2 Lite: 2.9%
  • GPQA Diamond

    Graduate-level science questions

    • Amazon Nova Pro 1.0: 49.9%
    • Amazon Nova 2 Lite: 60.3%Top
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Amazon Nova Pro 1.0: 69.1%
    • Amazon Nova 2 Lite: 74.3%Top
  • IFBench

    Following precise output instructions

    • Amazon Nova Pro 1.0: 38.1%
    • Amazon Nova 2 Lite: 40.5%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Amazon Nova Pro 1.0: 23.3%
    • Amazon Nova 2 Lite: 34.6%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Amazon Nova Pro 1.0: 7.0%
    • Amazon Nova 2 Lite: 33.7%Top
  • AIME

    Competition mathematics

    • Amazon Nova Pro 1.0: 10.7%
    • Amazon Nova 2 Lite: —
  • MATH-500

    Competition math problems

    • Amazon Nova Pro 1.0: 78.6%
    • Amazon Nova 2 Lite: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Amazon Nova Pro 1.0: 6.1%
    • Amazon Nova 2 Lite: 6.8%Top
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Amazon Nova Pro 1.0: 14.0%
    • Amazon Nova 2 Lite: 62.0%Top
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Amazon Nova Pro 1.0: 21.0%Top
    • Amazon Nova 2 Lite: 18.7%

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
0.0%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

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-pro-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-pro-v1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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