Veo 3 vs Grok Imagine Video 1.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Veo 3 by Google and Grok Imagine Video 1.5 by xAI represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Grok Imagine Video 1.5 holds a notable pricing advantage for token ingestion. On output generation, Grok Imagine Video 1.5 is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Veo 3 provides an expanded memory horizon with 2K tokens. In latency-sensitive production environments, Grok Imagine Video 1.5 leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
Changez et Comparez les Modèles
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Veo 3
Vidéo + audioBreakthrough generative vidéo modèle producing 4K footage avec synchronized natif audio et sound effects.
$6.00 / 1M
$400.00 / 1M
2K tokens
N/A
Grok Imagine Video 1.5
Génération vidéoGenerative multimodal vidéo modèle conçu pour élevé-fidelity texte-à-vidéo, image-à-vidéo, camera control, et clip extension.
$5.00 / 1M
$20.00 / 1M
1K tokens
N/A
Différences Clés en un Coup d’Œil
- Grok Imagine Video 1.5 is 12.6x cheaper for API usage (input + output tokens combined).
- Veo 3 has a larger context window (2K vs 1K tokens).
- Grok Imagine Video 1.5 is faster at 24 tok/s vs 12 tok/s.
| Caractéristique | Veo 3 | Grok Imagine Video 1.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 85 | 55 |
Provider | xAI | |
Input Price Cost per million input tokens | $6.00 / 1M | $5.00 / 1M |
Output Price Cost per million output tokens | $400.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $41.20 / 1M | $4.75 / 1M |
Context Window Maximum input + output tokens | 2K tokens~3 A4 pages of text | 1K tokens~2 A4 pages of text |
Max Output Tokens Per single request | 4K | 1K |
Throughput Speed Tokens generated per second | 12 tok/s | 24 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $2.50 / 1M |
Qui gagne où ?
At-a-glance decision frameworkEvaluations ongoing
Scores de Benchmarks Vérifiés
Official evaluation metrics verified by independent third-party research labs.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
Latence et Temps de Réponse
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulateur Interactif de Coût de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Veo 3 · Strengths & Key Advantages
- Synchronous élevé-fidelity environmental audio et parole
- Option de rendu cinématographique en 4K
- Cohérence temporelle fluide sur des générations de 30 secondes
Considerations & Trade-offs
- substantiel génération coût ($0.40/second)
- Temps d'attente de rendu de plusieurs minutes
Grok Imagine Video 1.5 · Strengths & Key Advantages
- élevé-definition image-à-vidéo animation avec consistent temporal cohérence
- Dynamic camera motion controls et seamless scene transitions
- natif texte prompt alignment et realistic physics simulation
Considerations & Trade-offs
- génération limité à short vidéo clips (typically 5 à 10 seconds par run)
- Computationally heavy avec longer render latence par rapport à texte modèles
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Veo 3 | Grok Imagine Video 1.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $2.50 | $0.15 |
Output Tokens / Task Tokens generated per task | 0K | 1K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spécifications Techniques
Architecture, release timeline, capabilities, and modalities.
| Caractéristique | Veo 3 | Grok Imagine Video 1.5 |
|---|---|---|
| Official API Model ID (SDK) | models/veo-3 | grok-imagine-video-1-5-latest |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | xAI REST API (OpenAI-Compatible) |
| Release Date | 2025-05 | 2026-05 |
| Knowledge Cutoff | February 2025 | March 2026 |
| Architecture | Joint multimodal audio-video diffusion transformer | Diffusion-Transformer Hybrid (DiT) |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($6/1M in) across full 2K window | Flat rate ($5/1M in) across full 1K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | Cached input at $2.5/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Text-only completion (No GUI action loop) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Real-time Web & X (Twitter) Search Grounding + Code Execution |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | API Prompt Engineering & RAG Distillation |
| 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 | Google DeepMind Frontier Safety Framework Verified | xAI Production Safety & Alignment Verified |
| 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 | video |
Veo 3 vs Grok Imagine Video 1.5: Réponses Rapides (FAQ)
Which is more intelligent, Veo 3 or Grok Imagine Video 1.5?
Veo 3 is more intelligent. It scores 85 compared with 55 on the composite Intelligence Index.
Which model is faster?
Grok Imagine Video 1.5 is faster, generating 24 tokens per second compared with 12 tokens per second.
Which model is cheaper to run?
Grok Imagine Video 1.5 is cheaper at $4.75 per 1M tokens blended, compared with $41.20 (7:2:1 cache:input:output ratio).
Which model has a larger context window?
Veo 3 has a larger context window, supporting 2K tokens compared with 1K tokens.
Verdict
Verdict & Model Selection Recommendation: Choose Veo 3 if your priority is Commercial video spots, music video visualizers, and narrative film production. Its performance in demanding tasks justifies its operational token cost. Choose Grok Imagine Video 1.5 if your workflow prioritizes Creative media production, dynamic social video clips, advertising storyboards, and conceptual video mockups. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Questions fréquentes
How does Veo 3 compare to Grok Imagine Video 1.5 in API token pricing and cost per token?+
Veo 3 costs $6.00 per 1M input tokens and $400.00 per 1M output tokens, whereas Grok Imagine Video 1.5 costs $5.00 input and $20.00 output. Overall, Grok Imagine Video 1.5 is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Veo 3 or Grok Imagine Video 1.5?+
Veo 3 supports a context window of 2K tokens (~2k words), while Grok Imagine Video 1.5 supports 1K tokens (~1k words). Therefore, Veo 3 can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Veo 3 or Grok Imagine Video 1.5?+
Veo 3 scores at the frontier of coding benchmarks, while Grok Imagine Video 1.5 scores competitively for software generation. For complex autonomous debugging and agentic engineering, Veo 3 provides robust code generation and tool calling.
What is the difference in reasoning capability and extended thinking between Veo 3 and Grok Imagine Video 1.5?+
Veo 3 is optimized for low-latency direct generation. In contrast, Grok Imagine Video 1.5 focuses on standard fast inference.
How does inference speed (tokens per second) compare between Veo 3 and Grok Imagine Video 1.5?+
Veo 3 generates approximately 12 tokens per second, while Grok Imagine Video 1.5 delivers 24 tokens per second. In latency-sensitive production environments, Grok Imagine Video 1.5 provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Veo 3 and Grok Imagine Video 1.5 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Grok Imagine Video 1.5 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Veo 3. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.
Sources: GetInfoUs Independent AI Benchmarks & Official API Specs