Head-to-Head Model Comparison

Amazon Nova Pro vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
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Compare Amazon Nova Pro by Amazon against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

Comparación Directa (VS)

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Popular Matchups:
Amazon

Amazon Nova Pro

Nativo de Bedrock

de Amazon highly capaz comercial multimodal modelo natively integrated en AWS Bedrock para alto-precisión razonamiento, visión, y video.

Intelligence Index82 / 100
Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

300K tokens

SWE-bench Verified:

N/A

Anthropic

Claude Opus 5.5

Titán de inteligencia de frontera

de Anthropic pinnacle modelo de frontera diseñado para de largo alcance agentic ingeniería de software, denso multimodal documento síntesis, y autónomo investigación flujos de trabajo.

Intelligence Index94 / 100
Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

Diferencias Clave de un Vistazo

  • Amazon Nova Pro is 5.6x cheaper for API usage (input + output tokens combined).
  • Claude Opus 5.5 has a larger context window (1M vs 300K tokens).
  • Amazon Nova Pro is faster at 85 tok/s vs 78 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaAmazon Nova ProClaude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
8294
Provider
AmazonAnthropic
Input Price
Cost per million input tokens
$0.80 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$3.20 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.62 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
300K tokens~450 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
85 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
N/A84.6%
GPQA Diamond
Graduate-level reasoning
62%82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.20 / 1M$0.40 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código

Evaluations ongoing

Costo
Amazon Nova Pro
5.6x cheaper monthly runtime
Velocidad
Amazon Nova Pro
+9% faster generation
Contexto
Claude Opus 5.5
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

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

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

N/Avs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

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

62%vs82.3%
MMLU-Pro (Multi-task Language Understanding)

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

79%vs91.5%
LMSYS Chatbot Arena Elo

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

1330ptsvs1507pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs19.8%
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs66.4%
SciCode (Scientific Computing)

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

N/Avs58.7%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs83.1%
AIME (Advanced Math Competition)

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

N/Avs95.4%
Long-Context Reasoning

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

N/Avs92.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs78 tok/s

Latencia y Tiempo de Respuesta

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 Pro0.44s
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Pro6.32s
Claude Opus 5.57.81s

Simulador Interactivo de Costos de Tokens

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 Pro Monthly API Bill
$4.38 / month
$0.8/1M in · $3.2/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Amazon Nova Pro saves approximately $20.22 / month (82%) under this workload.5.6x Savings

Amazon Nova Pro · Strengths & Key Advantages

  • Seamless empresarial integración con AWS IAM, CloudWatch, y Bedrock agentes
  • sólido 300K ventana de contexto accommodating denso multi-imagen técnico manuals
  • nativo video frame ingesta para visual monitoring y análisis
Considerations & Trade-offs
  • razonamiento ceiling es slightly below superior de frontera specialists like Claude 3.7 o GPT-5
  • Available exclusively un través de AWS Bedrock infraestructura

Claude Opus 5.5 · Strengths & Key Advantages

  • inigualable autónomo multipaso codificación agéntica y refactorización
  • Flawless multidocumento razonamiento sobre 1M token contexto con no largo-prompt surcharge
  • más alto Artificial análisis inteligencia Index ever measured (58/100), leading SWE-bench Pro un 89.9%
  • Precise herramienta ejecución con robust error-recovery bucles
Considerations & Trade-offs
  • Premium salida precios ($20.00/M) plus heavy razonamiento-token usage (~119K salida tokens por index tarea) keeps largo agentic se ejecuta expensive
  • largo pensamiento times un maximum effort puede push un único hard agentic tarea toward ~$13

Token Use & Task Economics

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

MetricAmazon Nova ProClaude Opus 5.5
Cost per Task
Estimated USD to finish one task
$0.16$3.85
Output Tokens / Task
Tokens generated per task
18K68K
Reasoning Tokens / Task
Thinking tokens burned per task
4K42K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaAmazon Nova ProClaude Opus 5.5
Official API Model ID (SDK)nova-proclaude-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
ArchitectureEnterprise Multimodal Foundation 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 ($0.8/1M in) across full 300K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.2/1M tokens$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec)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 Modalitiestext, vision, videotext, vision
Output Modalitiestexttext

Amazon Nova Pro vs Claude Opus 5.5: Respuestas Rápidas (FAQ)

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

Claude Opus 5.5 is more intelligent. It scores 94 compared with 82 on the composite Intelligence Index.

Which model is faster?

Amazon Nova Pro is faster, generating 85 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Amazon Nova Pro is cheaper at $0.62 per 1M tokens blended, compared with $3.08 (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 1.40s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 300K tokens.

Veredicto

Choose Amazon Nova Pro for aws-nativo empresarial flujos de trabajo, automatizado cloud agentes, y multimodal documento procesamiento, or choose Claude Opus 5.5 for grande-escala software development agentes, empresarial codebases, y de misión crítica científico síntesis.

Preguntas frecuentes

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

Amazon Nova Pro costs $0.8/1M input and $3.2/1M 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 Pro or Claude Opus 5.5?+

Amazon Nova Pro supports 300K 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.

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Amazon & Anthropic Official Documentation