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Amazon Nova Pro

Up to 30%

Call Amazon Nova Pro through LLM.API when you want Amazon-family text generation with unified auth, provider choice, and production-friendly defaults.

Start Using API

What is Amazon Nova Pro?

On LLM.API, Amazon Nova Pro (nova-pro) serves as a Amazon conversational model for products that need 300K tokens context windows and predictable token pricing. nova-pro provided by aws-bedrock. It is wired for API access through LLM.API with OpenAI-compatible patterns.

Providers

LLM.API routes Amazon Nova Pro to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
aws-bedrock$0.8 in
$3.2 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
aws-bedrock30% offin $800; out $3200 per 1M tokens300K tokensvision, tools, streaming, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test Amazon Nova Pro right here — free to start.

Amazon Nova Pro
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Amazon Nova Pro through the OpenAI-compatible API — POST /v1/chat/completions.

python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAP_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="nova-pro",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
{
  "model": "nova-pro",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Long-context synthesis

    Summarizes and cross-references information across large prompts when context allows. Grounded in the model's chat role rather than generic chat claims.

  • Code assistance

    Helps write, explain, refactor, and debug application code across common languages. Relevant for `nova-pro` workloads on LLM.API.

  • Tool-ready dialogue

    Works well in agent loops that call functions, browsers, or retrieval APIs. Grounded in the model's chat role rather than generic chat claims.

  • Instruction following

    Follows detailed system and user instructions with strong adherence to format and tone. Grounded in the model's chat role rather than generic chat claims.

  • Safety-aware replies

    Supports product policies with refusals and cautious handling of sensitive topics. Tuned to how teams typically call Amazon Nova Pro.

6 Most Valuable Use Cases

  • Coding agents for refactors, tests, and PR explanations with Amazon Nova Pro
  • Data extraction into JSON for downstream systems
  • Research synthesis across long documents and tickets with Amazon Nova Pro
  • Sales and success email drafting with CRM context
  • Multilingual localization drafts for UX copy with Amazon Nova Pro
  • Customer support copilots that draft accurate, on-brand replies

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent AI Routing

    Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.

  • Cost-Aware Execution

    Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.

    More performance, less spend.

  • Resilient Fallback Flows

    Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.

    Never go dark on users.

  • Deep LLM Observability

    Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.

    See every token, everywhere.

  • Task-Level Orchestration

    Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.

    Think tasks, not models.

  • High-Throughput Batch APIs

    Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.

    Scale from 1 to millions.

Why run Amazon Nova Pro on LLM.API?

  • Unified AI Routing

    Reach Amazon Nova Pro and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale Amazon Nova Pro.

  • Reliability Layer

    Production: Retry and route across configured providers when a single upstream blips.

  • Observability

    Practical: Trace prompts, tokens, and errors for Amazon Nova Pro alongside the rest of your stack.

  • Drop-in SDKs

    Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap Amazon Nova Pro for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You want OpenAI-compatible chat completions through a single LLM.API key (Amazon Nova Pro)
  • Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Amazon Nova Pro)
  • You need a general-purpose text model for assistants, agents, or content workflows (Amazon Nova Pro)
  • You need provider failover options exposed for this model id (Amazon Nova Pro)

Avoid if...

  • You require on-prem only deployment with no cloud inference
  • Your use case depends on unpublished proprietary benchmarks not listed here
  • You need guaranteed real-time hard latency SLAs without benchmarking the provider
  • You need pure embedding, OCR, or media generation instead of chat

BENCHMARKS

Amazon Nova Pro benchmark scores

Intelligence index

This model7.
Tracked median15.

Scale: 0-100 index points

Reference price per 1M tokens

Input$0.80
Output$3.20

Bars compare input and output list prices for this model.

Artificial Analysis Intelligence Index7
Median index across all tracked models15
Reference input price$0.80 / 1M tokens
Reference output price$3.20 / 1M tokens

Independent scores published by Artificial Analysis (source). Reference prices are provider list prices, not LLM.API pricing.

COMMUNITY

What developers say about Amazon Nova models

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Amazon Nova Pro.

  • Reviews consistently call Nova cheap and underrated — best-in-class pricing with tight AWS/Bedrock integration.
  • Amazon's own positioning, echoed by commentators, is that benchmark position matters less than cost and deployment fit.
  • Developers pick Nova for high-volume, cost-sensitive workloads already running inside AWS.

SOURCES

Frequently Asked Questions

  • When should I choose Amazon Nova Pro?

    Your prompts benefit from the model's family strengths (reasoning, speed, or cost) — especially when you specifically need Amazon Nova Pro.

  • Is Amazon Nova Pro a chat model?

    Yes—Amazon Nova Pro is exposed as a chat/completions-style endpoint on LLM.API.

  • Where is the canonical page for Amazon Nova Pro?

    https://llmapi.ai/models/amazon-nova-pro/

  • Can I use tools or structured outputs with Amazon Nova Pro?

    Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

  • How do I call Amazon Nova Pro via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "nova-pro" and your LLM.API key. See the code snippet on this page.

  • What is Amazon Nova Pro?

    nova-pro provided by aws-bedrock. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `nova-pro`.

  • What modalities does Amazon Nova Pro support?

    Amazon Nova Pro accepts text, image and produces text according to its architecture metadata on LLM.API.

  • What is the context length for Amazon Nova Pro?

    Reported context for Amazon Nova Pro is 300K tokens. Always verify the active provider row if multiple providers are listed.

  • What are limitations of Amazon Nova Pro?

    Like other API models, Amazon Nova Pro can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • How is Amazon Nova Pro priced on LLM.API?

    Listed pricing metadata shows: In $0.8 / 1M tokens · Out $3.2 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Which providers serve Amazon Nova Pro?

    LLM.API currently lists: aws-bedrock. Availability can vary by region and account.

  • Does Amazon Nova Pro support streaming?

    Yes—at least one listed provider advertises streaming.

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