Amazon: Nova Pro 1.0

Public pricingIntelligence 79/100Large memoryविज़नटूल उपयोग

Amazon: Nova Pro 1.0 एक मल्टीमॉडल मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، छवि समझ, 300K tokens का context और संतुलित लागत profile जोड़कर vision-language understanding and content analysis में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.80/1M

Output

$3.20/1M

Cached

$0.08/1M

Batch

$0.40/1M

Calculate your Nova Pro 1.0 bill.

Set your workload — see cost at your exact volume.

What would Nova Pro 1.0 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Nova Pro 1.0 at a glance.

Memory

300,000

tokens

Max reply

5,120

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

nova

Released

Dec 2024

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

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What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Nova Pro 1.0

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Nova Pro 1.0 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Nova Pro 1.0 costs roughly $188 per month. Input is $0.80 /1M tokens and output is $3.20 /1M tokens.
Nova Pro 1.0 has a 300,000-token context window (large memory — an entire book or large codebase). That means you can fit about 56,250 words of input and history in a single call.
Beyond text generation, Nova Pro 1.0 supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Nova Pro 1.0 was released in December 2024, with training data cut off around October 2024.
Models in a similar class include Nova 2 Lite, Nova Lite 1.0, Claude 3.5 Haiku. The "Similar models" section below this FAQ links into each.

Still unsure?

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