Grok Imagine Video 1.5 vs GPT-6.1 Sol
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Grok Imagine Video 1.5 by xAI against GPT-6.1 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.
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Live comparison: no in-depth editorial review has been published for this pair yet.
Grok Imagine Video 1.5
Generación de Imágenes IAGrok Imagine Video 1.5 de xAI es un modelo de IA diseñado para generación de imágenes de alta resolución, diseño visual y tipografía precisa, con ventana de contexto de 1K, velocidad de 24 tokens/s, índice de inteligencia de 55/100 y tarifa
$5.00 / 1M
$20.00 / 1M
1K tokens
N/A
GPT-6.1 Sol
Modelo Insignia de FronteraGPT-6.1 Sol de OpenAI 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 120 tokens/s, índice de inteligencia de 94/100 y tarifa d
$2.00 / 1M
$10.00 / 1M
1M tokens
82.3%
Diferencias Clave de un Vistazo
- GPT-6.1 Sol is 2.4x cheaper for API usage (input + output tokens combined).
- GPT-6.1 Sol has a larger context window (1M vs 1K tokens).
- GPT-6.1 Sol is faster at 120 tok/s vs 24 tok/s.
| Característica | Grok Imagine Video 1.5 | GPT-6.1 Sol |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 55 | 94 |
Provider | xAI | OpenAI |
Input Price Cost per million input tokens | $5.00 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $20.00 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $4.75 / 1M | $1.47 / 1M |
Context Window Maximum input + output tokens | 1K tokens~2 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 1K | 128K |
Throughput Speed Tokens generated per second | 24 tok/s | 120 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 82.3% |
GPQA Diamond Graduate-level reasoning | N/A | 80.8% |
Cached Input Price Prompt caching discount per 1M tokens | $2.50 / 1M | $0.10 / 1M |
¿Quién gana en cada área?
At-a-glance decision frameworkEvaluations ongoing
Puntuaciones de Benchmarks Verificadas
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latencia y Tiempo de Respuesta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interactivo de Costos de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Grok Imagine Video 1.5 · Strengths & Key Advantages
- Ventana de contexto de 1K con hasta 1K tokens de salida máxima (Arena Elo 1250)
- Rendimiento ágil de 24 tokens/segundo con latencia inicial (TTFT) de solo 4500 ms
- Economía de API competitiva ($5/$20 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
GPT-6.1 Sol · Strengths & Key Advantages
- Ventana de contexto de 1M con hasta 128K tokens de salida máxima (SWE-bench Verified 82.3% · GPQA Diamond 80.8%)
- Rendimiento ágil de 120 tokens/segundo con latencia inicial (TTFT) de solo 1120 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.
| Metric | Grok Imagine Video 1.5 | GPT-6.1 Sol |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.15 | $2.05 |
Output Tokens / Task Tokens generated per task | 1K | 62K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 36K |
Especificaciones Técnicas
Architecture, release timeline, capabilities, and modalities.
| Característica | Grok Imagine Video 1.5 | GPT-6.1 Sol |
|---|---|---|
| Official API Model ID (SDK) | grok-imagine-video-1-5-latest | gpt-6-1-sol |
| API Protocol | xAI REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-05 | 2026-09 |
| Knowledge Cutoff | March 2026 | April 2026 |
| Architecture | Diffusion-Transformer Hybrid (DiT) | Near-Astra unified reasoning model |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($5/1M in) across full 1K window | Flat rate ($2/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Cached input at $2.5/1M tokens | Automatic prefix caching at $0.1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Real-time Web & X (Twitter) Search Grounding + Code Execution | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text 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 VRAM | Cloud-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 Classification | xAI Production Safety & Alignment Verified | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision |
| Output Modalities | video | text |
Grok Imagine Video 1.5 vs GPT-6.1 Sol: Respuestas Rápidas (FAQ)
Which is more intelligent, Grok Imagine Video 1.5 or GPT-6.1 Sol?
GPT-6.1 Sol is more intelligent. It scores 94 compared with 55 on the composite Intelligence Index.
Which model is faster?
GPT-6.1 Sol is faster, generating 120 tokens per second compared with 24 tokens per second.
Which model is cheaper to run?
GPT-6.1 Sol is cheaper at $1.47 per 1M tokens blended, compared with $4.75 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-6.1 Sol has lower latency, with a time to first token of 1.12s compared with 4.50s.
Which model has a larger context window?
GPT-6.1 Sol has a larger context window, supporting 1M tokens compared with 1K tokens.
Veredicto
Choose Grok Imagine Video 1.5 for ideal para generación de imágenes de alta resolución, diseño visual y tipografía precisa, sistemas rag empresariales y automatización mediante api., or choose GPT-6.1 Sol for ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas rag empresariales y automatización mediante api..
Preguntas frecuentes
Which is cheaper: Grok Imagine Video 1.5 or GPT-6.1 Sol?+
Grok Imagine Video 1.5 costs $5/1M input and $20/1M output tokens, while GPT-6.1 Sol costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: Grok Imagine Video 1.5 or GPT-6.1 Sol?+
Grok Imagine Video 1.5 supports 1K tokens whereas GPT-6.1 Sol supports 1M tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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: xAI & OpenAI Official Documentation