1.5 billones parámetro Colossus-trained modelo fundacional ofreciendo reinforced codificación y profundo multi-hop razonamiento.
Technical Specifications
- Provider
- xAI
- Category
- flagship
- Release Date
- 2026-08
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- $30 / month
- Reasoning Effort Control
- Configurable (Low / Med / High)
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- grok-4-6-latest
- Supported SDK & API Protocol
- xAI REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2028+)
- Production Rate Limits (RPM & TPM)
- 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($2/1M in) across full 500K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.5/1M tokens
- Computer Use & Browser GUI Agent
- API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Real-time Web & X (Twitter) Search Grounding + Code Execution
- Fine-Tuning & Distillation Support
- API Prompt Engineering & RAG Distillation
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
- Weights Precision & Quantization
- Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
- Minimum GPU VRAM Requirement
- Zero Local VRAM Required (100% Serverless Cloud API)
- Supported Inference Engines
- Managed xAI Cloud API
- System Card & Safety Framework
- xAI Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Grok 4.6 Cost, Context, Hardware & API Integration
For single-user chat, a $30/mo subscription caps your bill below this API volume.
Break-even point: ~91 requests/day equals $30/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to Grok 4.6:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 75.8%
- GPQA Diamond
- 77.2%
- MMLU-Pro
- 88%
- HumanEval
- 95.4%
- Humanity's Last Exam
- 14.8%
- Terminal-Bench
- 51%
- SciCode
- 49.2%
- LiveCodeBench
- 75%
- AIME
- 89.5%
- Long-Context Reasoning
- 89%
- Chatbot Arena Elo
- 1450pts
Strengths
- masivo 1.5T parámetro capacidad proporcionando broader real-mundo knowledge y matiz
- Preserves el attractive $2/$6 por millones token precio point
- Notable improvements en completo-stack codificación y multifarchivo system arquitectura
Limitations & Trade-offs
- Quickly succeeded por el 2.1T parámetro Grok 4.7 upgrade
- ventana de contexto capped un 500K tokens
Editorial Assessment
el 1.5T stepping stone que paved el way para de xAI insignia Grok 4.7 leap.
Best for: Medium-un-grande ingeniería de software tareas, datos síntesis, y complejo análisis
Compare Grok 4.6
Frequently Asked Questions about Grok 4.6
How much does the Grok 4.6 API cost per 1M tokens?+
Grok 4.6 by xAI is priced at $2 per 1M input tokens and $6 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.5 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $30/month subscription or the Grok 4.6 pay-as-you-go API?+
A flat $30/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.
How many words and pages fit in Grok 4.6's context window?+
Grok 4.6 features a 500K tokens context window, which equals approximately 375,000 English words or ~1,000 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 65,536 tokens.
Can I run Grok 4.6 locally on my own GPU (Open Weights)?+
No, Grok 4.6 is a proprietary closed-weights model hosted by xAI. It cannot be downloaded for local GPU execution and must be accessed via xAI's official API or cloud platform.
Does xAI train on data sent to the Grok 4.6 API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (xAI Terms). Full commercial ownership of generated outputs. Supported deployment channels include: xAI Cloud API & Enterprise Endpoints.
How does Grok 4.6 perform on coding and reasoning benchmarks?+
Grok 4.6 achieves a composite Intelligence Index of 77/100, scoring 75.8% on SWE-bench Verified, 77.2% on GPQA Diamond, 88% on MMLU-Pro, and 1450 pts on Chatbot Arena Elo.
What is Grok 4.6 best used for?+
Grok 4.6 is best suited for: Medium-un-grande ingeniería de software tareas, datos síntesis, y complejo análisis. Assessment: el 1.5T stepping stone que paved el way para de xAI insignia Grok 4.7 leap.
xAI Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to xAI's flagship reasoning tier:
Grok 4.7
Grok-4
Grok 4.5
Grok Imagine Video 1.5
Grok 4.3
Grok Build 0.1
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Grok 4.6:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
Un modelo de IA entrenado para invertir cómputo adicional en pensar y validar hipótesis lógicas antes de responder, diseñado para problemas complejos de ingeniería y matemáticas.
Una técnica de razonamiento paso a paso donde el modelo genera pensamientos intermedios antes de formular la respuesta final, mejorando radicalmente la resolución de problemas matemáticos y lógicos.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.