de Amazon highly capaz comercial multimodal modelo natively integrated en AWS Bedrock para alto-precisión razonamiento, visión, y video.
Technical Specifications
- Provider
- Amazon
- Category
- flagship
- Release Date
- 2024-12
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Fixed
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- nova-pro
- Supported SDK & API Protocol
- Amazon REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Legacy Stable (Upgrade path available in Amazon lineup)
- Production Rate Limits (RPM & TPM)
- 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($0.8/1M in) across full 300K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.2/1M tokens
- Computer Use & Browser GUI Agent
- Supported (Screen coordinate grounding, browser & desktop GUI action loops)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
- Fine-Tuning & Distillation Support
- API Prompt Engineering & RAG Distillation
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec)
- Weights Precision & Quantization
- Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
- Minimum GPU VRAM Requirement
- Zero Local VRAM Required (100% Serverless Cloud API)
- Supported Inference Engines
- Managed Amazon Cloud API
- System Card & Safety Framework
- Amazon Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Amazon Nova Pro Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~128 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to Amazon Nova Pro:
Benchmark Scores & 6-Axis Capability Radar
- GPQA Diamond
- 62%
- MMLU-Pro
- 79%
- HumanEval
- 87%
- Chatbot Arena Elo
- 1330pts
Strengths
- Seamless empresarial integración con AWS IAM, CloudWatch, y Bedrock agentes
- sólido 300K ventana de contexto accommodating denso multi-imagen técnico manuals
- nativo video frame ingesta para visual monitoring y análisis
Limitations & Trade-offs
- razonamiento ceiling es slightly below superior de frontera specialists like Claude 3.7 o GPT-5
- Available exclusively un través de AWS Bedrock infraestructura
Editorial Assessment
de Amazon dependable empresarial caballo de batalla, bringing potente multimodal inteligencia un AWS.
Best for: AWS-nativo empresarial flujos de trabajo, automatizado cloud agentes, y multimodal documento procesamiento
Compare Amazon Nova Pro
Frequently Asked Questions about Amazon Nova Pro
How much does the Amazon Nova Pro API cost per 1M tokens?+
Amazon Nova Pro by Amazon is priced at $0.8 per 1M input tokens and $3.2 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.2 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Amazon Nova Pro pay-as-you-go API?+
A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.
How many words and pages fit in Amazon Nova Pro's context window?+
Amazon Nova Pro features a 300K tokens context window, which equals approximately 225,000 English words or ~600 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 8,192 tokens.
Can I run Amazon Nova Pro locally on my own GPU (Open Weights)?+
No, Amazon Nova Pro is a proprietary closed-weights model hosted by Amazon. It cannot be downloaded for local GPU execution and must be accessed via Amazon's official API or cloud platform.
Does Amazon train on data sent to the Amazon Nova Pro API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Amazon Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Amazon Cloud API & Enterprise Endpoints.
How does Amazon Nova Pro perform on coding and reasoning benchmarks?+
Amazon Nova Pro achieves a composite Intelligence Index of 82/100, scoring N/A% on SWE-bench Verified, 62% on GPQA Diamond, 79% on MMLU-Pro, and 1330 pts on Chatbot Arena Elo.
What is Amazon Nova Pro best used for?+
Amazon Nova Pro is best suited for: AWS-nativo empresarial flujos de trabajo, automatizado cloud agentes, y multimodal documento procesamiento. Assessment: de Amazon dependable empresarial caballo de batalla, bringing potente multimodal inteligencia un AWS.
Amazon Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Amazon's flagship reasoning tier:
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Amazon Nova Pro:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
Un modelo de IA entrenado para invertir cómputo adicional en pensar y validar hipótesis lógicas antes de responder, diseñado para problemas complejos de ingeniería y matemáticas.
Una técnica de razonamiento paso a paso donde el modelo genera pensamientos intermedios antes de formular la respuesta final, mejorando radicalmente la resolución de problemas matemáticos y lógicos.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.