Head-to-Head Model Comparison

Amazon Nova Micro vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

تمت المراجعة بواسطة فريق أبحاث GetInfoUsآخر مراجعة: October 2026السياسة التحريرية
مشاركة
Related topics (4)
AmazonAnthropiclightweightflagship

Compare Amazon Nova Micro by Amazon against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

مقارنة مباشرة (VS)

بدّل وقارن بين أي نموذجين

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

Live comparison: no in-depth editorial review has been published for this pair yet.

Popular Matchups:
Amazon

Amazon Nova Micro

نموذج ذكاء اصطناعي عالي الأداء

نموذج Amazon Nova Micro المقدم من Amazon يوفر نافذة سياق تصل إلى 128K رمز، بتكلفة $0.035 لكل مليون رمز إدخال و$0.14 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.

Intelligence Index34 / 100
Input Token:

$0.04 / 1M

Output Token:

$0.14 / 1M

Context Window:

128K tokens

SWE-bench Verified:

23%

Anthropic

Claude Opus 5.5

نموذج استدلال عميق

نموذج Claude Opus 5.5 المقدم من Anthropic يوفر نافذة سياق تصل إلى 1M رمز، بتكلفة $4.0 لكل مليون رمز إدخال و$20.0 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.

Intelligence Index94 / 100
Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

أهم الفروقات في لمحة

  • Amazon Nova Micro is 128.1x cheaper for API usage (input + output tokens combined).
  • Claude Opus 5.5 has a larger context window (1M vs 128K tokens).
  • Amazon Nova Micro is faster at 175 tok/s vs 78 tok/s.
  • Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 23.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAmazon Nova MicroClaude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
3494
Provider
AmazonAnthropic
Input Price
Cost per million input tokens
$0.04 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$0.14 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.03 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
175 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
23%84.6%
GPQA Diamond
Graduate-level reasoning
33.5%82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.40 / 1M

من يتفوق في كل مجال؟

At-a-glance decision framework
Coding
Claude Opus 5.5
+61.6% SWE-bench lead
Cost
Amazon Nova Micro
128.1x cheaper monthly runtime
Speed
Amazon Nova Micro
+124% faster generation
Context
Claude Opus 5.5
1M tokens window

نتائج الاختبارات المعيارية الموثقة

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

Amazon Nova MicroClaude Opus 5.5
SWE-bench Verified (Autonomous Coding)

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

23%vs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

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

33.5%vs82.3%
MMLU-Pro (Multi-task Language Understanding)

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

52%vs91.5%
LMSYS Chatbot Arena Elo

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

1195ptsvs1507pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

2.8%vs19.8%
Terminal-Bench (Agentic Coding & Terminal Use)

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

15.2%vs66.4%
SciCode (Scientific Computing)

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

16%vs58.7%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

26%vs83.1%
AIME (Advanced Math Competition)

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

30.5%vs95.4%
Long-Context Reasoning

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

60%vs92.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

175 tok/s vs78 tok/s

زمن الاستجابة والسرعة

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 Micro0.18s
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Micro3.04s
Claude Opus 5.57.81s

محاكي تكلفة الرموز التفاعلي

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 Micro Monthly API Bill
$0.19 / month
$0.035/1M in · $0.14/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Amazon Nova Micro saves approximately $24.41 / month (99%) under this workload.128.1x Savings

Amazon Nova Micro · Strengths & Key Advantages

  • بنية Ultra-Fast Text-Only Dense Transformer متطورة من Amazon مع سعة سياق تبلغ 128K رمز
  • كفاءة عالية في التكلفة ($0.035/1M إدخال و$0.14/1M إخراج) وسرعة استجابة ممتازة
  • أداء قوي في اختبارات البرمجة، الاستدلال المنطقي، ودعم اللغات المتعددة
Considerations & Trade-offs
  • يتطلب إدارة دقيقة لاستهلاك الرموز عند استخدام نافذة السياق الكاملة
  • قد يحتاج إلى ضبط دقيق للتعليمات (Prompt Engineering) في المهام التخصصية المعقدة

Claude Opus 5.5 · Strengths & Key Advantages

  • بنية Extended Autonomous Hybrid Reasoning Transformer متطورة من Anthropic مع سعة سياق تبلغ 1M رمز
  • كفاءة عالية في التكلفة ($4.0/1M إدخال و$20.0/1M إخراج) وسرعة استجابة ممتازة
  • أداء قوي في اختبارات البرمجة، الاستدلال المنطقي، ودعم اللغات المتعددة
Considerations & Trade-offs
  • يتطلب إدارة دقيقة لاستهلاك الرموز عند استخدام نافذة السياق الكاملة
  • قد يحتاج إلى ضبط دقيق للتعليمات (Prompt Engineering) في المهام التخصصية المعقدة

Token Use & Task Economics

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

MetricAmazon Nova MicroClaude Opus 5.5
Cost per Task
Estimated USD to finish one task
$0.03$3.85
Output Tokens / Task
Tokens generated per task
15K68K
Reasoning Tokens / Task
Thinking tokens burned per task
0K42K

المواصفات التقنية

Architecture, release timeline, capabilities, and modalities.

FeatureAmazon Nova MicroClaude Opus 5.5
Official API Model ID (SDK)nova-microclaude-opus-5-5-20260901
API ProtocolAmazon REST API (OpenAI-Compatible)Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2024-122026-09
Knowledge CutoffOctober 2024June 2026
ArchitectureUltra-Fast Text-Only Dense TransformerExtended Autonomous Hybrid Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.035/1M in) across full 128K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.009/1M tokens$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 toolsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationCustom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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 VerifiedAnthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
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 Modalitiestexttext, vision
Output Modalitiestexttext

Amazon Nova Micro vs Claude Opus 5.5: إجابات سريعة (FAQ)

Which is more intelligent, Amazon Nova Micro or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 34 on the composite Intelligence Index.

Which model is faster?

Amazon Nova Micro is faster, generating 175 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Amazon Nova Micro is cheaper at $0.03 per 1M tokens blended, compared with $3.08 (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 1.40s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 128K tokens.

الحكم النهائي

Choose Amazon Nova Micro for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات amazon الإنتاجية, or choose Claude Opus 5.5 for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات anthropic الإنتاجية.

الأسئلة الشائعة (FAQ)

Which is cheaper: Amazon Nova Micro or Claude Opus 5.5?+

Amazon Nova Micro costs $0.035/1M input and $0.14/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.

Which model has a larger context window: Amazon Nova Micro or Claude Opus 5.5?+

Amazon Nova Micro supports 128K tokens whereas Claude Opus 5.5 supports 1M tokens.

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.

المصادر الرسمية: Amazon & Anthropic Official Documentation