Amazon Nova Premier vs Amazon Nova Pro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
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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
深度推理模型Amazon 推出的 Amazon Nova Premier 人工智能模型，具备 1M 上下文窗口，输入价格为 $2/百万 Token，输出价格为 $8/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$2.00 / 1M
$8.00 / 1M
1M tokens
55%
Amazon Nova Pro
深度推理模型Amazon 推出的 Amazon Nova Pro 人工智能模型，具备 300K 上下文窗口，输入价格为 $0.8/百万 Token，输出价格为 $3.2/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$0.80 / 1M
$3.20 / 1M
300K tokens
N/A
核心差异一览
- 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 |
各项指标谁更胜一筹？
At-a-glance decision frameworkEvaluations ongoing
权威基准测试得分对比
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.
延迟与响应速度
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
实时 Token 成本模拟器
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Amazon Nova Premier · Strengths & Key Advantages
- 由 Amazon 研发的高精度 Frontier Multimodal Enterprise Transformer 架构，支持 1M 上下文窗口
- 极具竞争力的 API 定价（输入 $2/1M，输出 $8/1M），支持高速推理与工具调用
- 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
- 超长上下文请求需要规划 Token 成本与并发配额
- 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果
Amazon Nova Pro · Strengths & Key Advantages
- 由 Amazon 研发的高精度 Enterprise Multimodal Foundation Transformer 架构，支持 300K 上下文窗口
- 极具竞争力的 API 定价（输入 $0.8/1M，输出 $3.2/1M），支持高速推理与工具调用
- 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
- 超长上下文请求需要规划 Token 成本与并发配额
- 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果
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 |
技术规格参数
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: 常见问题解答 (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.
综合结论
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.
常见问题 (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.
数据来源: GetInfoUs Independent AI Benchmarks & Official API Specs