GetInfoUs
xAI

Grok-4

Vérifié par l’équipe de recherche de GetInfoUsDernière révision : October 2026Politique éditoriale
Colosse de frontière en temps réelOfficial Source Verified ↗
92
Intelligence Index

de xAI de pointe multimodal raisonnement system entraîné sur le 100k+ H100/H200 Colossus cluster avec natif zero-latence X stream indexing.

Input / Output
$2.5 / $10
per 1M tokens
Context
1M tokens
window
Speed
125
tok/s
Latency
0.68s
TTFT

Technical Specifications

Provider
xAI
Category
flagship
Release Date
2026-07
Knowledge Cutoff
Real-time (Up to October 2026)
Architecture
Colossus-Scale Dense Mixture-of-Experts
Parameters
Confidential
Context Window
1M tokens
Max Output
64K tokens
Cached Input Price
$0.25 / 1M tokens
Batch API Discount
50% off async batch
Consumer Subscription
$16 / month
Reasoning Mode
Yes (Chain-of-Thought)
Reasoning Effort Control
Configurable (Low / Med / High)
Tool Calling
Yes
Structured Outputs
Yes
Open Weights
No (Proprietary Cloud)
Input Modalities
text, vision
Output Modalities
text
Official Documentation
Visit Official Docs ↗

Data Privacy, Licensing & Deployment Governance

API Data Training Policy
API payloads are excluded from model training by default
Model License & Commercial Rights
Proprietary Commercial API (xAI Terms)
Deployment & Cloud Availability
xAI Cloud API & Enterprise Endpoints
Output Ownership
Full commercial ownership of generated outputs

Official Provider Release Intelligence, API Quotas & Agentic Specs

Compare Multi-Models Side-by-Side →
Official API Model ID (SDK String)
grok-4-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) · 4,000,000 – 10,000,000 TPM
Long-Context Pricing Tier (>128K / >200K)
Flat rate ($2.5/1M in) across full 1000K window
Prompt Cache Write & TTL Policy
Cached input at $0.25/1M tokens
Computer Use & Browser GUI Agent
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
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
Engineering & Pricing Workbench

Grok-4 Cost, Context, Hardware & API Integration

500 / day
4,000 tok
1,000 tok
Conversation Depth (History Re-billing):1 Turn (Single-Shot)
50%
Estimated Monthly API Cost (30 Days)
$232.50$300.00
Monthly Savings: $67.50 (Caching/Batch)
Daily Cost:
$7.75
Cost per Request:
$0.01550
Effective Input / 1M:
$1.375
Effective Output / 1M:
$10.000
Subscription ($16/mo) vs API

For single-user chat, a $16/mo subscription caps your bill below this API volume.

Break-even point: ~34 requests/day equals $16/month.

Same Monthly Workload Cost Across Popular Reference Models

Grok-4 (Active)
$232.50
/ month
Gemini 2.5 Flash
$18.00
/ month
DeepSeek V3
$32.70
/ month
GPT-4o
$300.00
/ month
Claude 3.7 Sonnet
$405.00
/ month

Live Prompt Paste Tokenizer & Cost Counter

Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.

Chars / Words
175 / 24
OpenAI o200k
~46 tok
Claude BPE
~49 tok
Llama / DeepSeek
~51 tok

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:

Cascaded Monthly Bill:$71.63/mo
Saves $160.88/mo (69% cost reduction) vs sending 100% of traffic to Grok-4.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia
Coding (88)Reasoning (89)Knowledge (87)Speed (83)Context (100)Cost Value (72)
Grok-42026 Frontier Median
SWE-bench Verified
76.5%
GPQA Diamond
77.8%
MMLU-Pro
87.4%
HumanEval
95.1%
Humanity's Last Exam
15.6%
Terminal-Bench
54.2%
SciCode
48.7%
LiveCodeBench
75.3%
AIME
89.2%
Long-Context Reasoning
86.5%
Chatbot Arena Elo
1507pts

Strengths

  • Zero-day knowledge synthèse via direct en direct X feed intégration
  • ultra-faible latence inférence et élevé sortie débit (125 tps)
  • Uninhibited conversationnel ton avec reduced d'entreprise guardrail refusal
  • exceptionnel compétitif mathématiques et codage performances

Limitations & Trade-offs

  • contexte récupération sur 800K tokens has minor périphérie-case variance
  • moins spécialisé dans niche d'entreprise juridique documentation que Claude Opus

Editorial Assessment

un élevé-octane de pointe moteur qui pairs massif computational échelle avec en direct monde awareness.

Best for: Breaking news analyse, en temps réel market sentiment, codage, et rapide multimodal raisonnement

Compare Grok-4

Grok-4 vs GPT-6 AstraGrok-4 vs Grok 4.6Grok-4 vs Claude Opus 5.5Grok-4 vs Gemini 4 ArgonGrok-4 vs GPT-6.1 SolGrok-4 vs Llama 5Grok-4 vs GPT-6 SolGrok-4 vs Kimi K3

Frequently Asked Questions about Grok-4

How much does the Grok-4 API cost per 1M tokens?+

Grok-4 by xAI is priced at $2.5 per 1M input tokens and $10 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.25 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.

Should I use a $16/month subscription or the Grok-4 pay-as-you-go API?+

A flat $16/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's context window?+

Grok-4 features a 1M tokens context window, which equals approximately 750,000 English words or ~2,000 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 64,000 tokens.

Can I run Grok-4 locally on my own GPU (Open Weights)?+

No, Grok-4 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 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 perform on coding and reasoning benchmarks?+

Grok-4 achieves a composite Intelligence Index of 92/100, scoring 76.5% on SWE-bench Verified, 77.8% on GPQA Diamond, 87.4% on MMLU-Pro, and 1507 pts on Chatbot Arena Elo.

What is Grok-4 best used for?+

Grok-4 is best suited for: Breaking news analyse, en temps réel market sentiment, codage, et rapide multimodal raisonnement. Assessment: un élevé-octane de pointe moteur qui pairs massif computational échelle avec en direct monde awareness.

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:

Sibling Production Tier2026-09

Grok 4.7

$2 / $6 · 500K tokensIQ 46
Sibling Production Tier2026-08

Grok 4.6

$2 / $6 · 500K tokensIQ 77
Sibling Production Tier2026-07

Grok 4.5

$2 / $6 · 500K tokensIQ 75
Sibling Production Tier2026-05

Grok Imagine Video 1.5

$5 / $20 · 1K tokensIQ 55
Fast Router / Budget Tier2026-04

Grok 4.3

$1.25 / $2.5 · 1M tokensIQ 71
Fast Router / Budget Tier2026-04

Grok Build 0.1

$1 / $2 · 256K tokensIQ 65

AI Glossary & Architecture Concepts

View full glossary →

Key machine learning concepts and benchmarks relevant to Grok-4:

Jeton (Token)

L'unité textuelle de base traitée par un modèle linguistique, représentant généralement 3 à 4 caractères ou environ 0,75 mot. Par exemple, une phrase courante est découpée en plusieurs jetons.

Benchmark (Banc d’essai)

Une suite de tests standardisés permettant d'évaluer et de comparer objectivement les performances des modèles d'IA sur des tâches ciblées (code avec SWE-bench, mathématiques avec AIME, etc.).

Fenêtre de contexte

Le nombre maximal de jetons qu'un modèle peut traiter simultanément (entrée et sortie comprises). Une fenêtre de 1 000 000 jetons permet d'analyser environ 750 000 mots en une seule requête.

Modèle de raisonnement

Un modèle d'IA entraîné par apprentissage par renforcement pour allouer du temps de calcul à la réflexion logique avant d'émettre une solution, idéal pour les problèmes scientifiques et le code complexe.

Chaîne de pensée (CoT)

Une méthode de raisonnement pas-à-pas où le modèle décompose le problème en étapes logiques intermédiaires avant de conclure, augmentant drastiquement la précision en mathématiques et programmation.

Appel d'outils (Tool Calling)

La capacité d'un LLM à déterminer quand une action externe est requise et à générer des arguments structurés pour invoquer des API, calculatrices ou bases de données avant de poursuivre.

← Back to all models

Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.

Sources: xAI Official Release Notes & Chatbot Arena (Late 2026)↗