GetInfoUs
Head-to-Head Model Comparison

GPT-6 Astra vs Grok-4

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
GPT-6 Astra vs Grok-4: Benchmarks, Pricing & Speed Comparison

GPT-6 Astra de OpenAI y Grok-4 de xAI compiten directamente en el ecosistema actual de IA. GPT-6 Astra ofrece una ventana de contexto de 272K tokens a $10.00/$50.00 por millón de tokens (entrada/salida), mientras que Grok-4 ofrece 1M tokens de contexto a $2.50/$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:
OpenAI

GPT-6 Astra

Modelo de Voz y Audio Nativo

GPT-6 Astra de OpenAI es un modelo de IA diseñado para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, con ventana de contexto de 272K, velocidad de 100 tokens/s, índice de inteligencia de 96/100 y t

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

xAI

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%

Diferencias Clave de un Vistazo

  • Grok-4 is 4.7x cheaper for API usage (input + output tokens combined).
  • Grok-4 has a larger context window (1M vs 272K tokens).
  • Grok-4 is faster at 125 tok/s vs 100 tok/s.
  • GPT-6 Astra leads on SWE-bench coding (82.4% vs 76.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaGPT-6 AstraGrok-4
Intelligence Index
Composite reasoning & knowledge score (0-100)
9692
Provider
OpenAIxAI
Input Price
Cost per million input tokens
$10.00 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$50.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$7.70 / 1M$1.68 / 1M
Context Window
Maximum input + output tokens
272K tokens~408 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
128K64K
Throughput Speed
Tokens generated per second
100 tok/s125 tok/s
SWE-bench Verified
Real-world software engineering
82.4%76.5%
GPQA Diamond
Graduate-level reasoning
80.9%77.8%
Cached Input Price
Prompt caching discount per 1M tokens
$1.00 / 1M$0.25 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
GPT-6 Astra
+5.9% SWE-bench lead
Costo
Grok-4
4.7x cheaper monthly runtime
Velocidad
Grok-4
+25% faster generation
Contexto
Grok-4
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

GPT-6 AstraGrok-4
SWE-bench Verified (Autonomous Coding)

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

82.4%vs76.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

80.9%vs77.8%
MMLU-Pro (Multi-task Language Understanding)

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

89.9%vs87.4%
LMSYS Chatbot Arena Elo

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

1520ptsvs1507pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

18.2%vs15.6%
Terminal-Bench (Agentic Coding & Terminal Use)

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

63.8%vs54.2%
SciCode (Scientific Computing)

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

54.9%vs48.7%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

79.8%vs75.3%
AIME (Advanced Math Competition)

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

93.6%vs89.2%
Long-Context Reasoning

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

91.2%vs86.5%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

100 tok/s vs125 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
GPT-6 Astra0.95s
Grok-40.68s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-6 Astra5.95s
Grok-44.68s

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)
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Grok-4 Monthly API Bill
$13.13 / month
$2.5/1M in · $10/1M out
Grok-4 saves approximately $48.38 / month (79%) under this workload.4.7x Savings

GPT-6 Astra · Strengths & Key Advantages

  • Ventana de contexto de 272K con hasta 128K tokens de salida máxima (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
  • Rendimiento ágil de 100 tokens/segundo con latencia inicial (TTFT) de solo 950 ms
  • Economía de API competitiva ($10/$50 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-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

Token Use & Task Economics

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

MetricGPT-6 AstraGrok-4
Cost per Task
Estimated USD to finish one task
$2.15$1.65
Output Tokens / Task
Tokens generated per task
58K48K
Reasoning Tokens / Task
Thinking tokens burned per task
32K24K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaGPT-6 AstraGrok-4
Official API Model ID (SDK)gpt-6-astragrok-4-latest
API ProtocolOpenAI Responses API & Chat Completions v1xAI REST API (OpenAI-Compatible)
Release Date2026-092026-07
Knowledge CutoffJune 2026Real-time (Up to October 2026)
ArchitectureOmni-Adaptive Autoregressive with Dynamic CoTColossus-Scale Dense Mixture-of-Experts
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($10/1M in) across full 272K windowFlat rate ($2.5/1M in) across full 1000K window
Prompt Cache Policy & TTLAutomatic prefix caching at $1/1M (no extra cache-write fee)Cached input at $0.25/1M tokens
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 & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGReal-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)API Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedxAI 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, vision, audiotext, vision
Output Modalitiestext, audiotext

GPT-6 Astra vs Grok-4: Respuestas Rápidas (FAQ)

Which is more intelligent, GPT-6 Astra or Grok-4?

GPT-6 Astra is more intelligent. It scores 96 compared with 92 on the composite Intelligence Index.

Which model is faster?

Grok-4 is faster, generating 125 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Grok-4 is cheaper at $1.68 per 1M tokens blended, compared with $7.70 (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 0.95s.

Which model has a larger context window?

Grok-4 has a larger context window, supporting 1M tokens compared with 272K tokens.

Veredicto

Tanto GPT-6 Astra (Ideal para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, sistemas RAG empresariales y automatización mediante API.) como Grok-4 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: GPT-6 Astra 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, GPT-6 Astra o Grok-4?+

En las pruebas de inteligencia compuesta y resolución de código, GPT-6 Astra obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de GPT-6 Astra frente a Grok-4?+

GPT-6 Astra cuesta $10.00 / $50.00 por millón de tokens de entrada/salida, mientras que Grok-4 cuesta $2.50 / $10.00. En costo combinado, Grok-4 es la opción más económica.

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

GPT-6 Astra cuenta con 272K tokens de contexto frente a 1M tokens de Grok-4. 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 OpenAI y xAI, tarjetas de sistema y benchmarks independientes (2026).