Amazon Nova Premier vs Amazon Nova Pro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Amazon Nova Premier by Amazon and Amazon Nova Pro by Amazon represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Amazon Nova Pro holds a notable pricing advantage for token ingestion. On output generation, Amazon Nova Pro is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Amazon Nova Premier provides an expanded memory horizon with 1,000K tokens. In latency-sensitive production environments, Amazon Nova Pro leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
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Amazon Nova Premier
심층 추론 모델Amazon의 Amazon Nova Premier 모델은 1M 토큰 컨텍스트 윈도우와 입력 $2/1M 토큰, 출력 $8/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$2.00 / 1M
$8.00 / 1M
1M tokens
55%
Amazon Nova Pro
심층 추론 모델Amazon의 Amazon Nova Pro 모델은 300K 토큰 컨텍스트 윈도우와 입력 $0.8/1M 토큰, 출력 $3.2/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$0.80 / 1M
$3.20 / 1M
300K tokens
N/A
한눈에 보는 핵심 차이점
- Amazon Nova Pro is 2.5x cheaper for API usage (input + output tokens combined).
- Amazon Nova Premier has a larger context window (1M vs 300K tokens).
- Amazon Nova Pro is faster at 85 tok/s vs 75 tok/s.
| Feature | Amazon Nova Premier | Amazon Nova Pro |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 87 | 82 |
Provider | Amazon | Amazon |
Input Price Cost per million input tokens | $2.00 / 1M | $0.80 / 1M |
Output Price Cost per million output tokens | $8.00 / 1M | $3.20 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.55 / 1M | $0.62 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 300K tokens~450 A4 pages of text |
Max Output Tokens Per single request | 16K | 8K |
Throughput Speed Tokens generated per second | 75 tok/s | 85 tok/s |
SWE-bench Verified Real-world software engineering | 55% | N/A |
GPQA Diamond Graduate-level reasoning | 68% | 62% |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 1M | $0.20 / 1M |
부문별 우위 모델
At-a-glance decision frameworkEvaluations ongoing
검증된 벤치마크 점수 비교
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
지연 시간(Latency) 및 응답 속도
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
실시간 API 토큰 비용 시뮬레이터
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Amazon Nova Premier · Strengths & Key Advantages
- Amazon의 첨단 Frontier Multimodal Enterprise Transformer 아키텍처와 최대 1M 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $2/1M, 출력 $8/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Amazon Nova Pro · Strengths & Key Advantages
- Amazon의 첨단 Enterprise Multimodal Foundation Transformer 아키텍처와 최대 300K 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $0.8/1M, 출력 $3.2/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Amazon Nova Premier | Amazon Nova Pro |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.35 | $0.16 |
Output Tokens / Task Tokens generated per task | 25K | 18K |
Reasoning Tokens / Task Thinking tokens burned per task | 8K | 4K |
기술 사양 (Specifications)
Architecture, release timeline, capabilities, and modalities.
| Feature | Amazon Nova Premier | Amazon Nova Pro |
|---|---|---|
| Official API Model ID (SDK) | nova-premier | nova-pro |
| API Protocol | Amazon REST API (OpenAI-Compatible) | Amazon REST API (OpenAI-Compatible) |
| Release Date | 2025-04 | 2024-12 |
| Knowledge Cutoff | January 2025 | October 2024 |
| Architecture | Frontier Multimodal Enterprise Transformer | Enterprise Multimodal Foundation Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($2/1M in) across full 1000K window | Flat rate ($0.8/1M in) across full 300K window |
| Prompt Cache Policy & TTL | Cached input at $0.5/1M tokens | Cached input at $0.2/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | 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 | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | API Prompt Engineering & RAG Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Amazon Production Safety & Alignment Verified | Amazon Production Safety & Alignment Verified |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision, video | text, vision, video |
| Output Modalities | text | text |
Amazon Nova Premier vs Amazon Nova Pro: 핵심 요약 문답 (FAQ)
Which is more intelligent, Amazon Nova Premier or Amazon Nova Pro?
Amazon Nova Premier is more intelligent. It scores 87 compared with 82 on the composite Intelligence Index.
Which model is faster?
Amazon Nova Pro is faster, generating 85 tokens per second compared with 75 tokens per second.
Which model is cheaper to run?
Amazon Nova Pro is cheaper at $0.62 per 1M tokens blended, compared with $1.55 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Amazon Nova Pro has lower latency, with a time to first token of 0.44s compared with 0.58s.
Which model has a larger context window?
Amazon Nova Premier has a larger context window, supporting 1M tokens compared with 300K tokens.
종합 평가
Verdict & Model Selection Recommendation: Choose Amazon Nova Premier if your priority is Mission-critical enterprise intelligence, complex multi-turn cloud agents, and model distillation. Its performance in demanding tasks justifies its operational token cost. Choose Amazon Nova Pro if your workflow prioritizes AWS-native enterprise workflows, automated cloud agents, and multimodal document processing. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
자주 묻는 질문 (FAQ)
How does Amazon Nova Premier compare to Amazon Nova Pro in API token pricing and cost per token?+
Amazon Nova Premier costs $2.00 per 1M input tokens and $8.00 per 1M output tokens, whereas Amazon Nova Pro costs $0.80 input and $3.20 output. Overall, Amazon Nova Pro is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Amazon Nova Premier or Amazon Nova Pro?+
Amazon Nova Premier supports a context window of 1,000K tokens (~750k words), while Amazon Nova Pro supports 300K tokens (~225k words). Therefore, Amazon Nova Premier can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Amazon Nova Premier or Amazon Nova Pro?+
Amazon Nova Premier scores 55% on SWE-bench Verified, while Amazon Nova Pro scores competitively for software generation. For complex autonomous debugging and agentic engineering, Amazon Nova Premier provides robust code generation and tool calling.
What is the difference in reasoning capability and extended thinking between Amazon Nova Premier and Amazon Nova Pro?+
Amazon Nova Premier features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Amazon Nova Pro provides chain-of-thought reasoning depth for complex math and science.
How does inference speed (tokens per second) compare between Amazon Nova Premier and Amazon Nova Pro?+
Amazon Nova Premier generates approximately 75 tokens per second, while Amazon Nova Pro delivers 85 tokens per second. In latency-sensitive production environments, Amazon Nova Pro provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Amazon Nova Premier and Amazon Nova Pro to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Amazon Nova Pro to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Amazon Nova Premier. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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.
공식 출처: GetInfoUs Independent AI Benchmarks & Official API Specs