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Amazon Nova Pro API: Endpoint & Pricing

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.

Can you self-host Amazon Nova Pro?

No. We found no public weights for Amazon Nova Pro on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, up to 30% below list price.

Get API keySee API code ↓

Providers

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

List price by provider

InputOutput
aws-bedrock$0.8 in
$3.2 out

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

ProviderPricingContextCapabilities
aws-bedrockin $0.8; out $3.2 per 1M tokens300K tokensvision, tools, streaming, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 8 Oct 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.

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to nova-pro and the call runs unchanged.

bash
curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nova-pro",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_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)
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "nova-pro",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);
stream = client.chat.completions.create(
    model="nova-pro",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)
{
  "model": "nova-pro",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID nova-pro · OpenAI-compatible.

  • POST /v1/chat/completionsChat Completions — supported
FeatureStatusHow to set it
Function calling (tools)Supportedtools, tool_choice
Parallel tool callsNot supportedparallel_tool_calls
JSON modeSupportedresponse_format: {"type": "json_object"}
Structured outputsSupportedresponse_format: {"type": "json_schema", …}
StreamingSupportedstream: true
Vision (image input)Supportedimage_url content parts
Web searchNot supportedweb_search

ERRORS

Errors & fallback routing

CodeWhat it meansWhat to do
401Missing or invalid API key.Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active.
429Rate limited, or the upstream provider is throttling the request.Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
5xxUpstream provider error or timeout.Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Amazon Nova Pro in production

What the model is good at.

  • 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.

What you get when you call Amazon Nova Pro through LLM.API.

  • Unified AI Routing

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

    One endpoint, every model.

  • Cost Control

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

    More performance, less spend.

  • Reliability Layer

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

    Never go dark on users.

  • Observability

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

    See every token, everywhere.

  • Drop-in SDKs

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

    Think tasks, not models.

  • Model Breadth

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

    Scale from 1 to millions.

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

LLM API rating for Amazon Nova Pro

★ 2.8/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value✓ Verified benchmark · Artificial Analysis
3.7Production adoptionEstablished provider, moderate volume
1.2Benchmark qualityArtificial Analysis Intelligence Index 7.0
3.2Developer ecosystemContext window, tool and JSON support, price against the category median
Reasoning & chat 2.8Coding 2.8Vision & multimodal 3.4Tool & function calling 3.9Long context 3.7
How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

  1. Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
  2. Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
  3. Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

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.

Intelligence index-53% vs median
Amazon Nova Pro API: Endpoint & 30% Discount7
Median tracked model15

Higher is better. The median covers every model tracked by Artificial Analysis.

Reference price / 1M tokens
Input$0.80
Output$3.20

Provider list prices, before the LLM.API discount.

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

LMArena—Speed—Sources: LMArena, Artificial Analysis

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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