GetInfoUs
Head-to-Head Model Comparison

Grok 4.20 (Non-Reasoning) vs Grok 2

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
Compartir
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Grok 4.20 (Non-Reasoning) vs Grok 2: Benchmarks, Pricing & Speed Comparison

Grok 4.20 (Non-Reasoning) de xAI y Grok 2 de xAI compiten directamente en el ecosistema actual de IA. Grok 4.20 (Non-Reasoning) ofrece una ventana de contexto de 1M tokens a $3.00/$15.00 por millón de tokens (entrada/salida), mientras que Grok 2 ofrece 131.1K tokens de contexto a $2.00/$10.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

Cambia y Compara Cualquier Modelo

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
Popular Matchups:
xAI

Grok 4.20 (Non-Reasoning)

IA Agéntica y Uso de Herramientas

Grok 4.20 (Non-Reasoning) de xAI es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 1M, velocidad de 135 tokens/s, índice de inteligencia de 6

Intelligence Index62 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

61.5%

xAI

Grok 2

Modelo Insignia de Frontera

Grok 2 de xAI es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 131K, velocidad de 85 tokens/s, índice de inteligencia de 45/100 y tarifa de $2/$1

Intelligence Index45 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

36.5%

Diferencias Clave de un Vistazo

  • Grok 2 is 1.4x cheaper for API usage (input + output tokens combined).
  • Grok 4.20 (Non-Reasoning) has a larger context window (1M vs 131K tokens).
  • Grok 4.20 (Non-Reasoning) is faster at 135 tok/s vs 85 tok/s.
  • Grok 4.20 (Non-Reasoning) leads on SWE-bench coding (61.5% vs 36.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaGrok 4.20 (Non-Reasoning)Grok 2
Intelligence Index
Composite reasoning & knowledge score (0-100)
6245
Provider
xAIxAI
Input Price
Cost per million input tokens
$3.00 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.63 / 1M$2.10 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
66K8K
Throughput Speed
Tokens generated per second
135 tok/s85 tok/s
SWE-bench Verified
Real-world software engineering
61.5%36.5%
GPQA Diamond
Graduate-level reasoning
65.4%56%
Cached Input Price
Prompt caching discount per 1M tokens
$0.75 / 1M$1.00 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
Grok 4.20 (Non-Reasoning)
+25.0% SWE-bench lead
Costo
Grok 2
1.4x cheaper monthly runtime
Velocidad
Grok 4.20 (Non-Reasoning)
+59% faster generation
Contexto
Grok 4.20 (Non-Reasoning)
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Grok 4.20 (Non-Reasoning)Grok 2
SWE-bench Verified (Autonomous Coding)

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

61.5%vs36.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

65.4%vs56%
MMLU-Pro (Multi-task Language Understanding)

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

81.2%vs74.5%
LMSYS Chatbot Arena Elo

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

1360ptsvs1295pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

9.4%vsN/A
Terminal-Bench (Agentic Coding & Terminal Use)

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

39.8%vsN/A
SciCode (Scientific Computing)

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

36.5%vsN/A
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

60.2%vsN/A
AIME (Advanced Math Competition)

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

76.5%vsN/A
Long-Context Reasoning

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

85%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs85 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 (Non-Reasoning)0.42s
Grok 20.48s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok 4.20 (Non-Reasoning)4.12s
Grok 26.36s

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 4.20 (Non-Reasoning) Monthly API Bill
$19.13 / month
$3/1M in · $15/1M out
Grok 2 Monthly API Bill
$13.50 / month
$2/1M in · $10/1M out
Grok 2 saves approximately $5.63 / month (29%) under this workload.1.4x Savings

Grok 4.20 (Non-Reasoning) · Strengths & Key Advantages

  • Ventana de contexto de 1M con hasta 66K tokens de salida máxima (SWE-bench Verified 61.5% · GPQA Diamond 65.4%)
  • Rendimiento ágil de 135 tokens/segundo con latencia inicial (TTFT) de solo 420 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

Grok 2 · Strengths & Key Advantages

  • Ventana de contexto de 131K con hasta 8K tokens de salida máxima (SWE-bench Verified 36.5% · GPQA Diamond 56%)
  • Rendimiento ágil de 85 tokens/segundo con latencia inicial (TTFT) de solo 480 ms
  • Economía de API competitiva ($2/$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

Token Use & Task Economics

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

MetricGrok 4.20 (Non-Reasoning)Grok 2
Cost per Task
Estimated USD to finish one task
$0.88$0.20
Output Tokens / Task
Tokens generated per task
35K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaGrok 4.20 (Non-Reasoning)Grok 2
Official API Model ID (SDK)grok-4-20-non-reasoning-latestgrok-2-latest
API ProtocolxAI REST API (OpenAI-Compatible)xAI REST API (OpenAI-Compatible)
Release Date2026-032024-08
Knowledge CutoffNovember 2025August 2024
ArchitectureColossus-Scale Sparse MoEFrontier Multimodal Mixture-of-Experts
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) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($3/1M in) across full 1000K windowFlat rate ($2/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.75/1M tokensCached input at $1/1M 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 4.20 (Non-Reasoning) vs Grok 2: Respuestas Rápidas (FAQ)

Which is more intelligent, Grok 4.20 (Non-Reasoning) or Grok 2?

Grok 4.20 (Non-Reasoning) is more intelligent. It scores 62 compared with 45 on the composite Intelligence Index.

Which model is faster?

Grok 4.20 (Non-Reasoning) is faster, generating 135 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Grok 2 is cheaper at $2.10 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 4.20 (Non-Reasoning) has lower latency, with a time to first token of 0.42s compared with 0.48s.

Which model has a larger context window?

Grok 4.20 (Non-Reasoning) has a larger context window, supporting 1M tokens compared with 131.1K tokens.

Veredicto

Tanto Grok 4.20 (Non-Reasoning) (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) como Grok 2 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Grok 4.20 (Non-Reasoning) lidera en inteligencia general y programación, Grok 4.20 (Non-Reasoning) ofrece mayor velocidad de generación de tokens y Grok 2 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Grok 4.20 (Non-Reasoning) o Grok 2?+

En las pruebas de inteligencia compuesta y resolución de código, Grok 4.20 (Non-Reasoning) obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Grok 4.20 (Non-Reasoning) frente a Grok 2?+

Grok 4.20 (Non-Reasoning) cuesta $3.00 / $15.00 por millón de tokens de entrada/salida, mientras que Grok 2 cuesta $2.00 / $10.00. En costo combinado, Grok 2 es la opción más económica.

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

Grok 4.20 (Non-Reasoning) cuenta con 1M tokens de contexto frente a 131.1K tokens de Grok 2. En velocidad de inferencia, Grok 4.20 (Non-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 & 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).