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Head-to-Head Model Comparison

Grok 4.1 vs Grok-3

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 4.1 vs Grok-3: Benchmarks, Pricing & Speed Comparison

Grok 4.1 de xAI y Grok-3 de xAI compiten directamente en el ecosistema actual de IA. Grok 4.1 ofrece una ventana de contexto de 2M tokens a $0.20/$1.00 por millón de tokens (entrada/salida), mientras que Grok-3 ofrece 1M tokens de contexto a $3.00/$15.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

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xAI

Grok 4.1

Modelo Insignia de Frontera

Grok 4.1 de xAI es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 2M, velocidad de 142 tokens/s, índice de inteligencia de 51/100 y tarifa de $0.2

Intelligence Index51 / 100
Input Token:

$0.20 / 1M

Output Token:

$1.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

66.4%

xAI

Grok-3

Motor de Razonamiento Profundo

Grok-3 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 54/100 y tarifa de $3

Intelligence Index54 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

65.2%

Diferencias Clave de un Vistazo

  • Grok 4.1 is 15.0x cheaper for API usage (input + output tokens combined).
  • Grok 4.1 has a larger context window (2M vs 1M tokens).
  • Grok 4.1 is faster at 142 tok/s vs 95 tok/s.
  • Grok 4.1 leads on SWE-bench coding (66.4% vs 65.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaGrok 4.1Grok-3
Intelligence Index
Composite reasoning & knowledge score (0-100)
5154
Provider
xAIxAI
Input Price
Cost per million input tokens
$0.20 / 1M$3.00 / 1M
Output Price
Cost per million output tokens
$1.00 / 1M$15.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.17 / 1M$2.63 / 1M
Context Window
Maximum input + output tokens
2M tokens~3,000 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
66K33K
Throughput Speed
Tokens generated per second
142 tok/s95 tok/s
SWE-bench Verified
Real-world software engineering
66.4%65.2%
GPQA Diamond
Graduate-level reasoning
63.8%74%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$0.75 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
Grok 4.1
+1.2% SWE-bench lead
Costo
Grok 4.1
15.0x cheaper monthly runtime
Velocidad
Grok 4.1
+49% faster generation
Contexto
Grok 4.1
2M tokens window

Puntuaciones de Benchmarks Verificadas

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

Grok 4.1Grok-3
SWE-bench Verified (Autonomous Coding)

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

66.4%vs65.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

63.8%vs74%
MMLU-Pro (Multi-task Language Understanding)

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

80.1%vs88.5%
LMSYS Chatbot Arena Elo

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

1298ptsvs1342pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

8.2%vs10.2%
Terminal-Bench (Agentic Coding & Terminal Use)

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

38.5%vs41%
SciCode (Scientific Computing)

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

37.4%vs42.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

64.9%vs70.8%
AIME (Advanced Math Competition)

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

79.3%vs82.5%
Long-Context Reasoning

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

76.2%vs78.5%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

142 tok/s vs95 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 4.11.50s
Grok-31.10s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok 4.15.02s
Grok-36.36s

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 4.1 Monthly API Bill
$1.28 / month
$0.2/1M in · $1/1M out
Grok-3 Monthly API Bill
$19.13 / month
$3/1M in · $15/1M out
Grok 4.1 saves approximately $17.85 / month (93%) under this workload.15.0x Savings

Grok 4.1 · Strengths & Key Advantages

  • Ventana de contexto de 2M con hasta 66K tokens de salida máxima (SWE-bench Verified 66.4% · GPQA Diamond 63.8%)
  • Rendimiento ágil de 142 tokens/segundo con latencia inicial (TTFT) de solo 1500 ms
  • Economía de API competitiva ($0.2/$1 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 demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Grok-3 · Strengths & Key Advantages

  • Ventana de contexto de 1M con hasta 33K tokens de salida máxima (SWE-bench Verified 65.2% · GPQA Diamond 74%)
  • Rendimiento ágil de 95 tokens/segundo con latencia inicial (TTFT) de solo 1100 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

Token Use & Task Economics

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

MetricGrok 4.1Grok-3
Cost per Task
Estimated USD to finish one task
$0.28$0.20
Output Tokens / Task
Tokens generated per task
40K24K
Reasoning Tokens / Task
Thinking tokens burned per task
21K15K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaGrok 4.1Grok-3
Official API Model ID (SDK)grok-4-1-latestgrok-3-latest
API ProtocolxAI REST API (OpenAI-Compatible)xAI REST API (OpenAI-Compatible)
Release Date2025-112025-02
Knowledge Cutoff2025Late 2024
ArchitectureSparse MoEHybrid Reasoning Deep MoE
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.2/1M in) across full 2000K windowFlat rate ($3/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $0.75/1M 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 & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionReal-time Web & X (Twitter) Search Grounding + Code Execution
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)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 VerifiedxAI 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, visiontext, vision
Output Modalitiestexttext

Grok 4.1 vs Grok-3: Respuestas Rápidas (FAQ)

Which is more intelligent, Grok 4.1 or Grok-3?

Grok-3 is more intelligent. It scores 54 compared with 51 on the composite Intelligence Index.

Which model is faster?

Grok 4.1 is faster, generating 142 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Grok 4.1 is cheaper at $0.17 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok-3 has lower latency, with a time to first token of 1.10s compared with 1.50s.

Which model has a larger context window?

Grok 4.1 has a larger context window, supporting 2M tokens compared with 1M tokens.

Veredicto

Tanto Grok 4.1 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) como Grok-3 (Ideal para razonamiento lógico profundo, matemáticas avanzadas y resolución científica paso a paso, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Grok-3 lidera en inteligencia general y programación, Grok 4.1 ofrece mayor velocidad de generación de tokens y Grok 4.1 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Grok 4.1 o Grok-3?+

En las pruebas de inteligencia compuesta y resolución de código, Grok-3 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Grok 4.1 frente a Grok-3?+

Grok 4.1 cuesta $0.20 / $1.00 por millón de tokens de entrada/salida, mientras que Grok-3 cuesta $3.00 / $15.00. En costo combinado, Grok 4.1 es la opción más económica.

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

Grok 4.1 cuenta con 2M tokens de contexto frente a 1M tokens de Grok-3. En velocidad de inferencia, Grok 4.1 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 xAI, tarjetas de sistema y benchmarks independientes (2026).