GetInfoUs
Head-to-Head Model Comparison

Amazon Nova Lite vs Amazon Nova Micro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien
Teilen
Related topics (12)
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 von Amazon und Amazon Nova Micro von Amazon gehören zu den führenden KI-Modellen. Amazon Nova Lite bietet ein Kontextfenster von 300K Tokens bei API-Preisen von $0.06/$0.24 pro 1M Tokens, während Amazon Nova Micro 128K Tokens Kontext zu $0.04/$0.14 pro 1M Tokens bereitstellt. Hier finden Sie den vollständigen Benchmark-, Latenz- und Kostenvergleich.

Direktvergleich (VS)

Beliebige Modelle wechseln & vergleichen

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Amazon

Amazon Nova Lite

Nativ Multimodale KI

Amazon Nova Lite von Amazon ist ein KI-Modell für nativ multimodale Verarbeitung von Text und Bild sowie visuelle Dokumentenanalyse mit 300K Kontextfenster, 135 Token/s Durchsatz, einem Intelligenz-Index von 38/100 und $0.06/$0.24 pro 1M To

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

Kompaktes Effizienz-Modell

Amazon Nova Micro von Amazon ist ein KI-Modell für maximale Kosteneffizienz pro Token und ressourcenschonende Produktions-Workloads mit 128K Kontextfenster, 175 Token/s Durchsatz, einem Intelligenz-Index von 34/100 und $0.035/$0.14 pro 1M T

Intelligence Index34 / 100
Input Token:

$0.04 / 1M

Output Token:

$0.14 / 1M

Context Window:

128K tokens

SWE-bench Verified:

23%

Wichtigste Unterschiede auf einen Blick

  • 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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-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

  • 300K Kontextfenster und bis zu 8K maximale Output-Token (SWE-bench Verified 31.2% · GPQA Diamond 42%)
  • Hohe Generierungsgeschwindigkeit von 135 Token/Sekunde bei nur 280 ms Erstlatenz (TTFT)
  • Effiziente API-Struktur ($0.06/$0.24 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe
Considerations & Trade-offs
  • Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
  • Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Amazon Nova Micro · Strengths & Key Advantages

  • 128K Kontextfenster und bis zu 8K maximale Output-Token (SWE-bench Verified 23% · GPQA Diamond 33.5%)
  • Hohe Generierungsgeschwindigkeit von 175 Token/Sekunde bei nur 180 ms Erstlatenz (TTFT)
  • Effiziente API-Struktur ($0.035/$0.14 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe
Considerations & Trade-offs
  • Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
  • Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

Technische Spezifikationen

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: Schnelle Antworten (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.

Fazit

Sowohl Amazon Nova Lite (Optimal für nativ multimodale Verarbeitung von Text und Bild sowie visuelle Dokumentenanalyse, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Amazon Nova Micro (Optimal für maximale Kosteneffizienz pro Token und ressourcenschonende Produktions-Workloads, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Amazon Nova Lite führt bei komplexem Reasoning und Coding, Amazon Nova Micro liefert den höheren Token-Durchsatz und Amazon Nova Micro ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Amazon Nova Lite oder Amazon Nova Micro?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Amazon Nova Lite vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Amazon Nova Lite und Amazon Nova Micro?+

Amazon Nova Lite kostet $0.06 / $0.24 pro 1M Input-/Output-Tokens, Amazon Nova Micro liegt bei $0.04 / $0.14. Beim gewichteten Gesamtpreis ist Amazon Nova Micro günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Amazon Nova Lite bietet 300K Tokens Kontext gegenüber 128K Tokens bei Amazon Nova Micro. Bei der Generierungsgeschwindigkeit liegt Amazon Nova Micro vorn.

AI Terminology & Guide
Explore Glossary →

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

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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: Offizielle API-Dokumentation von Amazon und Amazon, Systemkarten und unabhängige Benchmark-Auswertungen (2026).