Head-to-Head Model Comparison

Amazon Nova Lite vs Amazon Nova Micro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Reviewed by the GetInfoUs research teamLast reviewed: October 2026Editorial policy
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Amazon Nova Lite vs Amazon Nova Micro: Benchmarks, Pricing & Speed Comparison

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.

Head-to-Head Comparison

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Amazon

Amazon Nova Lite

AWS High-Velocity Multimodal

Amazon's lightning-fast multimodal foundation model engineered for cost-sensitive enterprise applications, real-time image parsing, and high-frequency workloads.

Intelligence Index38 / 100
Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

300K tokens

SWE-bench Verified:

31.2%

Amazon

Amazon Nova Micro

AWS Micro-Latency Text

Amazon's fastest, lowest-cost text model delivering sub-200ms responses for search ranking, classification, and streaming conversational chat.

Intelligence Index34 / 100
Input Token:

$0.04 / 1M

Output Token:

$0.14 / 1M

Context Window:

128K tokens

SWE-bench Verified:

23%

Key Differences at a Glance

  • 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%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAmazon Nova LiteAmazon Nova Micro
Intelligence Index
Composite reasoning & knowledge score (0-100)
3834
Provider
AmazonAmazon
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 text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
135 tok/s175 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

Who Wins Where?

At-a-glance decision framework
Coding
Amazon Nova Lite
+8.2% SWE-bench lead
Cost
Amazon Nova Micro
1.7x cheaper monthly runtime
Speed
Amazon Nova Micro
+30% faster generation
Context
Amazon Nova Lite
300K tokens window

Empirical Head-to-Head Benchmark Scores

Official evaluation metrics verified by independent third-party research labs.

Amazon Nova LiteAmazon Nova Micro
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

31.2%vs23%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

42%vs33.5%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

61.2%vs52%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1230ptsvs1195pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

4%vs2.8%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

20.5%vs15.2%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

21%vs16%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

34.2%vs26%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

39.5%vs30.5%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

66%vs60%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs175 tok/s

Latency & Response Time

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Amazon Nova Lite0.28s
Amazon Nova Micro0.18s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Lite3.98s
Amazon Nova Micro3.04s

Real-Time Interactive Token Cost Simulator

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Amazon Nova Lite Monthly API Bill
$0.33 / month
$0.06/1M in · $0.24/1M out
Amazon Nova Micro Monthly API Bill
$0.19 / month
$0.035/1M in · $0.14/1M out
Amazon Nova Micro saves approximately $0.14 / month (42%) under this workload.1.7x Savings

Amazon Nova Lite · Strengths & Key Advantages

  • Very generous 300K context window with full image and video comprehension
  • Ultra-competitive pricing ($0.06 input per 1M tokens) integrated directly into Amazon Bedrock
  • Deep integration with AWS enterprise security, KMS, and VPC endpoints
  • Sub-300ms latency for real-time customer interactions
Considerations & Trade-offs
  • Available exclusively through AWS Bedrock API
  • Lower software engineering benchmark scores than Nova Pro

Amazon Nova Micro · Strengths & Key Advantages

  • Sub-200ms time-to-first-token, ideal for streaming autocomplete and search routing
  • Extreme cost efficiency ($0.035/1M input tokens)
  • 128K context window for fast document scanning
  • Native Bedrock Guardrails and security compliance
Considerations & Trade-offs
  • Text-only (no vision support)
  • Limited deep algorithmic reasoning capacity

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricAmazon Nova LiteAmazon Nova Micro
Cost per Task
Estimated USD to finish one task
$0.06$0.03
Output Tokens / Task
Tokens generated per task
19K15K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Technical Specifications

Architecture, release timeline, capabilities, and modalities.

FeatureAmazon Nova LiteAmazon Nova Micro
Official API Model ID (SDK)nova-litenova-micro
API ProtocolAmazon REST API (OpenAI-Compatible)Amazon REST API (OpenAI-Compatible)
Release Date2024-122024-12
Knowledge CutoffOctober 2024October 2024
ArchitectureHigh-Speed Multimodal Foundation TransformerUltra-Fast Text-Only Dense Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 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 windowFlat rate ($0.035/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.015/1M tokensCached input at $0.009/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationAmazon Production Safety & Alignment VerifiedAmazon Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, videotext
Output Modalitiestexttext

Amazon Nova Lite vs Amazon Nova Micro: Quick Answers

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.

Verdict

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.

Frequently asked questions

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%.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

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.

Sources: GetInfoUs Independent AI Benchmarks & Official API Specs