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Head-to-Head Model Comparison

Grok-4 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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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Grok-4 vs Claude Opus 5.5: Benchmarks, Pricing & Speed Comparison

Grok-4 de xAI y Claude Opus 5.5 de Anthropic compiten directamente en el ecosistema actual de IA. Grok-4 ofrece una ventana de contexto de 1M tokens a $2.50/$10.00 por millón de tokens (entrada/salida), mientras que Claude Opus 5.5 ofrece 1M tokens de contexto a $4.00/$20.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

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Grok-4

Modelo Insignia de Frontera

Grok-4 de xAI es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 1M, velocidad de 125 tokens/s, índice de inteligencia de 92/100 y tarifa de $2.5/$

Intelligence Index92 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

76.5%

Anthropic

Claude Opus 5.5

Modelo Insignia de Frontera

Claude Opus 5.5 de Anthropic es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 1M, velocidad de 78 tokens/s, índice de inteligencia de 94/100 y ta

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

  • Grok-4 is 1.9x cheaper for API usage (input + output tokens combined).
  • Grok-4 is faster at 125 tok/s vs 78 tok/s.
  • Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 76.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaGrok-4Claude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
9294
Provider
xAIAnthropic
Input Price
Cost per million input tokens
$2.50 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$10.00 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.68 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
64K128K
Throughput Speed
Tokens generated per second
125 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
76.5%84.6%
GPQA Diamond
Graduate-level reasoning
77.8%82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.40 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
Claude Opus 5.5
+8.1% SWE-bench lead
Costo
Grok-4
1.9x cheaper monthly runtime
Velocidad
Grok-4
+60% faster generation
Contexto
Tied
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Grok-4Claude Opus 5.5
SWE-bench Verified (Autonomous Coding)

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

76.5%vs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

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

77.8%vs82.3%
MMLU-Pro (Multi-task Language Understanding)

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

87.4%vs91.5%
LMSYS Chatbot Arena Elo

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

1507ptsvs1507pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

15.6%vs19.8%
Terminal-Bench (Agentic Coding & Terminal Use)

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

54.2%vs66.4%
SciCode (Scientific Computing)

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

48.7%vs58.7%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

75.3%vs83.1%
AIME (Advanced Math Competition)

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

89.2%vs95.4%
Long-Context Reasoning

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

86.5%vs92.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

125 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
Grok-40.68s
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok-44.68s
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)
Grok-4 Monthly API Bill
$13.13 / month
$2.5/1M in · $10/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Grok-4 saves approximately $11.48 / month (47%) under this workload.1.9x Savings

Grok-4 · Strengths & Key Advantages

  • Ventana de contexto de 1M con hasta 64K tokens de salida máxima (SWE-bench Verified 76.5% · GPQA Diamond 77.8%)
  • Rendimiento ágil de 125 tokens/segundo con latencia inicial (TTFT) de solo 680 ms
  • Economía de API competitiva ($2.5/$10 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas
Considerations & Trade-offs
  • Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
  • En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Claude Opus 5.5 · Strengths & Key Advantages

  • Ventana de contexto de 1M con hasta 128K tokens de salida máxima (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
  • Rendimiento ágil de 78 tokens/segundo con latencia inicial (TTFT) de solo 1400 ms
  • Economía de API competitiva ($4/$20 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas
Considerations & Trade-offs
  • Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
  • En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Token Use & Task Economics

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

MetricGrok-4Claude Opus 5.5
Cost per Task
Estimated USD to finish one task
$1.65$3.85
Output Tokens / Task
Tokens generated per task
48K68K
Reasoning Tokens / Task
Thinking tokens burned per task
24K42K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaGrok-4Claude Opus 5.5
Official API Model ID (SDK)grok-4-latestclaude-opus-5-5-20260901
API ProtocolxAI REST API (OpenAI-Compatible)Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2026-072026-09
Knowledge CutoffReal-time (Up to October 2026)June 2026
ArchitectureColossus-Scale Dense Mixture-of-ExpertsExtended Autonomous Hybrid Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($2.5/1M in) across full 1000K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.25/1M 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 & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionNative 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)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 ClassificationxAI 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, visiontext, vision
Output Modalitiestexttext

Grok-4 vs Claude Opus 5.5: Respuestas Rápidas (FAQ)

Which is more intelligent, Grok-4 or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 92 on the composite Intelligence Index.

Which model is faster?

Grok-4 is faster, generating 125 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Grok-4 is cheaper at $1.68 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok-4 has lower latency, with a time to first token of 0.68s compared with 1.40s.

Veredicto

Tanto Grok-4 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) como Claude Opus 5.5 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Claude Opus 5.5 lidera en inteligencia general y programación, Grok-4 ofrece mayor velocidad de generación de tokens y Grok-4 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Grok-4 o Claude Opus 5.5?+

En las pruebas de inteligencia compuesta y resolución de código, Claude Opus 5.5 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Grok-4 frente a Claude Opus 5.5?+

Grok-4 cuesta $2.50 / $10.00 por millón de tokens de entrada/salida, mientras que Claude Opus 5.5 cuesta $4.00 / $20.00. En costo combinado, Grok-4 es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Grok-4 cuenta con 1M tokens de contexto frente a 1M tokens de Claude Opus 5.5. En velocidad de inferencia, Grok-4 ofrece un rendimiento superior.

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

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: Documentación oficial de API de xAI y Anthropic, tarjetas de sistema y benchmarks independientes (2026).