Generative multimodal video modelo construido para alto-fidelity texto-un-video, imagen-un-video, camera control, y clip extension.
Technical Specifications
- Provider
- xAI
- Category
- flagship
- Release Date
- 2026-05
- Batch API Discount
- 20% off async batch
- Consumer Subscription
- $30 / month
- Reasoning Effort Control
- Fixed
- Structured Outputs
- No
- Output Modalities
- video
- 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-imagine-video-1-5-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 ($5/1M in) across full 1K window
- Prompt Cache Write & TTL Policy
- Cached input at $2.5/1M tokens
- Computer Use & Browser GUI Agent
- Text-only completion (No GUI action loop)
- MCP & Parallel Tool Calling
- Prompt-based JSON extraction only
- 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 Imagine Video 1.5 Cost, Context, Hardware & API Integration
For single-user chat, a $30/mo subscription caps your bill below this API volume.
Break-even point: ~29 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 Imagine Video 1.5:
Benchmark Scores & 6-Axis Capability Radar
- Chatbot Arena Elo
- 1250pts
Strengths
- alto-definition imagen-un-video animation con consistent temporal coherencia
- Dynamic camera motion controls y seamless scene transitions
- nativo texto prompt alignment y realistic physics simulation
Limitations & Trade-offs
- generación limitado un short video clips (typically 5 un 10 seconds por run)
- Computationally heavy con longer render latencia en comparación con texto modelos
Editorial Assessment
de xAI líder multimodal generative video motor bringing dynamic motion y visual storytelling un el Grok ecosistema.
Best for: creativo media producción, dynamic social video clips, advertising storyboards, y conceptual video mockups
Compare Grok Imagine Video 1.5
Frequently Asked Questions about Grok Imagine Video 1.5
How much does the Grok Imagine Video 1.5 API cost per 1M tokens?+
Grok Imagine Video 1.5 by xAI is priced at $5 per 1M input tokens and $20 per 1M output tokens. With prompt caching enabled, cached input tokens cost $2.5 per 1M tokens, and asynchronous Batch API requests receive a 20% discount.
Should I use a $30/month subscription or the Grok Imagine Video 1.5 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 Imagine Video 1.5's context window?+
Grok Imagine Video 1.5 features a 1K tokens context window, which equals approximately 768 English words or ~2 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 1,024 tokens.
Can I run Grok Imagine Video 1.5 locally on my own GPU (Open Weights)?+
No, Grok Imagine Video 1.5 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 Imagine Video 1.5 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 Imagine Video 1.5 perform on coding and reasoning benchmarks?+
Grok Imagine Video 1.5 achieves a composite Intelligence Index of 55/100, scoring N/A% on SWE-bench Verified, N/A% on GPQA Diamond, N/A% on MMLU-Pro, and 1250 pts on Chatbot Arena Elo.
What is Grok Imagine Video 1.5 best used for?+
Grok Imagine Video 1.5 is best suited for: creativo media producción, dynamic social video clips, advertising storyboards, y conceptual video mockups. Assessment: de xAI líder multimodal generative video motor bringing dynamic motion y visual storytelling un el Grok ecosistema.
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 4.6
Grok-4
Grok 4.5
Grok 4.3
Grok Build 0.1
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Grok Imagine Video 1.5:
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.
Una optimización donde los proveedores almacenan estados de atención previos para prefijos de prompts frecuentes, reduciendo el coste de entrada hasta en un 90% y acelerando la respuesta.
Una optimización de memoria GPU que almacena matrices de atención previas (Key y Value) para evitar recalcular tokens ya procesados, acelerando la generación de respuestas en streaming.
Una red neuronal multimodal diseñada para interpretar, razonar y generar contenido combinando simultáneamente imágenes, diagramas, capturas de pantalla y texto en lenguaje natural.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.