Amazon Nova Lite vs Amazon Nova Micro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Amazon Nova Lite by Amazon and Amazon Nova Micro 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 Micro holds a notable pricing advantage for token ingestion. On output generation, Amazon Nova Micro is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Amazon Nova Lite provides an expanded memory horizon with 300K tokens. In latency-sensitive production environments, Amazon Nova Micro 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 Lite
高性能 AI 模型Amazon 推出的 Amazon Nova Lite 人工智能模型，具备 300K 上下文窗口，输入价格为 $0.06/百万 Token，输出价格为 $0.24/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$0.06 / 1M
$0.24 / 1M
300K tokens
31.2%
Amazon Nova Micro
高性能 AI 模型Amazon 推出的 Amazon Nova Micro 人工智能模型，具备 128K 上下文窗口，输入价格为 $0.035/百万 Token，输出价格为 $0.14/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$0.04 / 1M
$0.14 / 1M
128K tokens
23%
核心差异一览
- Amazon Nova Micro is 1.7x cheaper for API usage (input + output tokens combined).
- Amazon Nova Lite has a larger context window (300K vs 128K tokens).
- Amazon Nova Micro is faster at 175 tok/s vs 135 tok/s.
- Amazon Nova Lite leads on SWE-bench coding (31.2% vs 23.0%).
| Feature | Amazon Nova Lite | Amazon Nova Micro |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 38 | 34 |
Provider | Amazon | Amazon |
Input Price Cost per million input tokens | $0.06 / 1M | $0.04 / 1M |
Output Price Cost per million output tokens | $0.24 / 1M | $0.14 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.05 / 1M | $0.03 / 1M |
Context Window Maximum input + output tokens | 300K tokens~450 A4 pages of text | 128K tokens~192 A4 pages of text |
Max Output Tokens Per single request | 8K | 8K |
Throughput Speed Tokens generated per second | 135 tok/s | 175 tok/s |
SWE-bench Verified Real-world software engineering | 31.2% | 23% |
GPQA Diamond Graduate-level reasoning | 42% | 33.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.01 / 1M |
各项指标谁更胜一筹？
At-a-glance decision framework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.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
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 Lite · Strengths & Key Advantages
- 由 Amazon 研发的高精度 High-Speed Multimodal Foundation Transformer 架构，支持 300K 上下文窗口
- 极具竞争力的 API 定价（输入 $0.06/1M，输出 $0.24/1M），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 Micro · Strengths & Key Advantages
- 由 Amazon 研发的高精度 Ultra-Fast Text-Only Dense Transformer 架构，支持 128K 上下文窗口
- 极具竞争力的 API 定价（输入 $0.035/1M，输出 $0.14/1M），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 Lite | Amazon Nova Micro |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.06 | $0.03 |
Output Tokens / Task Tokens generated per task | 19K | 15K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | Amazon Nova Lite | Amazon Nova Micro |
|---|---|---|
| Official API Model ID (SDK) | nova-lite | nova-micro |
| API Protocol | Amazon REST API (OpenAI-Compatible) | Amazon REST API (OpenAI-Compatible) |
| Release Date | 2024-12 | 2024-12 |
| Knowledge Cutoff | October 2024 | October 2024 |
| Architecture | High-Speed Multimodal Foundation Transformer | Ultra-Fast Text-Only Dense Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.06/1M in) across full 300K window | Flat rate ($0.035/1M in) across full 128K window |
| Prompt Cache Policy & TTL | Cached input at $0.015/1M tokens | Cached input at $0.009/1M tokens |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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) |
| 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 |
| Output Modalities | text | text |
Amazon Nova Lite vs Amazon Nova Micro: 常见问题解答 (FAQ)
Which is more intelligent, Amazon Nova Lite or Amazon Nova Micro?
Amazon Nova Lite is more intelligent. It scores 38 compared with 34 on the composite Intelligence Index.
Which model is faster?
Amazon Nova Micro is faster, generating 175 tokens per second compared with 135 tokens per second.
Which model is cheaper to run?
Amazon Nova Micro is cheaper at $0.03 per 1M tokens blended, compared with $0.05 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Amazon Nova Micro has lower latency, with a time to first token of 0.18s compared with 0.28s.
Which model has a larger context window?
Amazon Nova Lite has a larger context window, supporting 300K tokens compared with 128K tokens.
综合结论
Verdict & Model Selection Recommendation: Choose Amazon Nova Lite if your priority is AWS enterprise workloads, automated customer support, document digitization, and video scene analysis. Its performance in demanding tasks justifies its operational token cost. Choose Amazon Nova Micro if your workflow prioritizes Real-time search reranking, intent classification, and high-volume data pipeline filtering. 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 Lite compare to Amazon Nova Micro in API token pricing and cost per token?+
Amazon Nova Lite costs $0.06 per 1M input tokens and $0.24 per 1M output tokens, whereas Amazon Nova Micro costs $0.04 input and $0.14 output. Overall, Amazon Nova Micro 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 Lite or Amazon Nova Micro?+
Amazon Nova Lite supports a context window of 300K tokens (~225k words), while Amazon Nova Micro supports 128K tokens (~96k words). Therefore, Amazon Nova Lite can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Amazon Nova Lite or Amazon Nova Micro?+
Amazon Nova Lite scores 31.2% on SWE-bench Verified while Amazon Nova Micro scores 23%. For autonomous software engineering and multi-file debugging, Amazon Nova Lite holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Amazon Nova Lite and Amazon Nova Micro?+
Amazon Nova Lite is optimized for low-latency direct generation. In contrast, Amazon Nova Micro focuses on standard fast inference.
How does inference speed (tokens per second) compare between Amazon Nova Lite and Amazon Nova Micro?+
Amazon Nova Lite generates approximately 135 tokens per second, while Amazon Nova Micro delivers 175 tokens per second. In latency-sensitive production environments, Amazon Nova Micro provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Amazon Nova Lite and Amazon Nova Micro to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Amazon Nova Micro to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Amazon Nova Lite. 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