Head-to-Head Model Comparison

Grok 4.20 (Reasoning) 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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Grok 4.20 (Reasoning)Profile

Claude Opus 5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

xAI

Grok 4.20 (Reasoning)

Motor de Razonamiento Profundo

Grok 4.20 (Reasoning) de xAI es un modelo de IA diseñado para razonamiento lógico profundo, matemáticas avanzadas y resolución científica paso a paso, con ventana de contexto de 1M, velocidad de 95 tokens/s, índice de inteligencia de 68/100

Intelligence Index68 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68.2%

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 4.20 (Reasoning) is 1.3x cheaper for API usage (input + output tokens combined).
Grok 4.20 (Reasoning) is faster at 95 tok/s vs 78 tok/s.
Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 68.2%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Característica	Grok 4.20 (Reasoning)	Claude Opus 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	68	94
Provider	xAI	Anthropic
Input Price Cost per million input tokens	$3.00 / 1M	$4.00 / 1M
Output Price Cost per million output tokens	$15.00 / 1M	$20.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.63 / 1M	$3.08 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	66K	128K
Throughput Speed Tokens generated per second	95 tok/s	78 tok/s
SWE-bench Verified Real-world software engineering	68.2%	84.6%
GPQA Diamond Graduate-level reasoning	72.8%	82.3%
Cached Input Price Prompt caching discount per 1M tokens	$0.75 / 1M	$0.40 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Claude Opus 5.5

+16.4% SWE-bench lead

Costo

Grok 4.20 (Reasoning)

1.3x cheaper monthly runtime

Velocidad

Grok 4.20 (Reasoning)

+22% faster generation

Contexto

Tied

1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Grok 4.20 (Reasoning)Claude Opus 5.5

SWE-bench Verified (Autonomous Coding)

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

68.2%vs84.6%

GPQA Diamond (Doctorate-Level Science & Math)

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

72.8%vs82.3%

MMLU-Pro (Multi-task Language Understanding)

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

84.1%vs91.5%

LMSYS Chatbot Arena Elo

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

1395ptsvs1507pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

11.8%vs19.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

44.5%vs66.4%

SciCode (Scientific Computing)

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

41.2%vs58.7%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

66.5%vs83.1%

AIME (Advanced Math Competition)

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

86.4%vs95.4%

Long-Context Reasoning

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

89.2%vs92.6%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 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 4.20 (Reasoning)0.98s

Claude Opus 5.51.40s

Est. End-to-End Response (500 tokens)TTFT + generation time

Grok 4.20 (Reasoning)6.24s

Claude Opus 5.57.81s

Simulador Interactivo de Costos de Tokens

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

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Grok 4.20 (Reasoning) Monthly API Bill

$19.13 / month

$3/1M in · $15/1M out

Claude Opus 5.5 Monthly API Bill

$24.60 / month

$4/1M in · $20/1M out

Grok 4.20 (Reasoning) saves approximately $5.48 / month (22%) under this workload.1.3x Savings

Grok 4.20 (Reasoning) · Strengths & Key Advantages

Ventana de contexto de 1M con hasta 66K tokens de salida máxima (SWE-bench Verified 68.2% · GPQA Diamond 72.8%)
Rendimiento ágil de 95 tokens/segundo con latencia inicial (TTFT) de solo 980 ms
Economía de API competitiva ($3/$15 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.

Metric	Grok 4.20 (Reasoning)	Claude Opus 5.5
Cost per Task Estimated USD to finish one task	$1.45	$3.85
Output Tokens / Task Tokens generated per task	45K	68K
Reasoning Tokens / Task Thinking tokens burned per task	28K	42K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Grok 4.20 (Reasoning)	Claude Opus 5.5
Official API Model ID (SDK)	grok-4-20-reasoning-latest	claude-opus-5-5-20260901
API Protocol	xAI REST API (OpenAI-Compatible)	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-03	2026-09
Knowledge Cutoff	November 2025	June 2026
Architecture	Colossus-Scale Reasoning Sparse MoE	Extended Autonomous Hybrid Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($3/1M in) across full 1000K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.75/1M tokens	$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Real-time Web & X (Twitter) Search Grounding + Code Execution	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text 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 VRAM	Cloud-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 Classification	xAI Production Safety & Alignment Verified	Anthropic 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 Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision
Output Modalities	text	text

Grok 4.20 (Reasoning) vs Claude Opus 5.5: Respuestas Rápidas (FAQ)

Which is more intelligent, Grok 4.20 (Reasoning) or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 68 on the composite Intelligence Index.

Which model is faster?

Grok 4.20 (Reasoning) is faster, generating 95 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Grok 4.20 (Reasoning) is cheaper at $2.63 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 4.20 (Reasoning) has lower latency, with a time to first token of 0.98s compared with 1.40s.

Veredicto

Tanto Grok 4.20 (Reasoning) (Ideal para razonamiento lógico profundo, matemáticas avanzadas y resolución científica paso a paso, 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 4.20 (Reasoning) ofrece mayor velocidad de generación de tokens y Grok 4.20 (Reasoning) resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Grok 4.20 (Reasoning) 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 4.20 (Reasoning) frente a Claude Opus 5.5?+

Grok 4.20 (Reasoning) cuesta $3.00 / $15.00 por millón de tokens de entrada/salida, mientras que Claude Opus 5.5 cuesta $4.00 / $20.00. En costo combinado, Grok 4.20 (Reasoning) es la opción más económica.

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

Grok 4.20 (Reasoning) cuenta con 1M tokens de contexto frente a 1M tokens de Claude Opus 5.5. En velocidad de inferencia, Grok 4.20 (Reasoning) 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Grok 4.20 (Reasoning) vs Claude Opus 5.5

Cambia y Compara Cualquier Modelo

Grok 4.20 (Reasoning)

Claude Opus 5.5

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Grok 4.20 (Reasoning) · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Grok 4.20 (Reasoning) vs Claude Opus 5.5: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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