Amazon Nova Pro von Amazon ist ein leistungsstarkes KI-Modell mit einem Kontextfenster von 300K Token zu API-Preisen von $0.8/1M Input- und $3.2/1M Output-Token für Softwareentwicklung, Analyse und Enterprise-Workflows.
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
- Fortschrittliche Enterprise Multimodal Foundation Transformer-Architektur von Amazon mit 300K Token Kontextfenster
- Starkes Preis-Leistungs-Verhältnis ($0.8/1M Input, $3.2/1M Output) bei hoher Durchsatzrate
- Hohe Präzision bei Code-Generierung, logischem Schließen und mehrsprachigen Benchmarks
Limitations & Trade-offs
- Bei sehr großen Kontextmengen ist eine sorgfältige Token-Budgetierung ratsam
- Spezialisierte Fachaufgaben profitieren von gezieltem Prompt-Engineering
Editorial Assessment
Amazon Nova Pro von Amazon überzeugt durch eine ausgewogene Kombination aus Intelligenz, Geschwindigkeit und Kosteneffizienz.
Best for: Unternehmensautomatisierung, Software-Engineering, autonome KI-Agenten und Amazon-Produktionssysteme
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: Unternehmensautomatisierung, Software-Engineering, autonome KI-Agenten und Amazon-Produktionssysteme. Assessment: Amazon Nova Pro von Amazon überzeugt durch eine ausgewogene Kombination aus Intelligenz, Geschwindigkeit und Kosteneffizienz.
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:
The basic unit of text that a language model processes, typically representing about 3 to 4 English characters or roughly 0.75 words. For example, the sentence "Artificial intelligence is fast" breaks down into about 5 tokens.
A standardized evaluation suite used to objectively measure and rank an AI model's capabilities across specific tasks — such as SWE-bench Verified for software engineering, AIME for competitive math, or MMLU for general knowledge.
The maximum number of tokens a model can consider at once — both the input it reads and the output it writes. A 1,000,000-token context window can hold roughly 750,000 English words in a single request.
An AI model trained via reinforcement learning to spend dynamic compute thinking through complex logic, math, and architectural problems before outputting a solution. Examples include OpenAI o1, o3, and DeepSeek R1.
A step-by-step reasoning technique where an AI model generates intermediate problem-solving thoughts before arriving at a final answer. Native reasoning models like OpenAI o3 and DeepSeek R1 use CoT to solve complex math and coding challenges.
The ability of a language model to recognize when an external capability is needed and output structured JSON arguments to invoke external APIs, databases, or terminal commands. The runtime executes the tool and passes results back to the model.
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Offizielle Quellen: AWS Bedrock Amazon Nova Documentation↗