Veo 3 vs Veo 2
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Veo 3 by Google and Veo 2 by Google 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, Veo 2 holds a notable pricing advantage for token ingestion. On output generation, Veo 2 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, Veo 3 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.
Cambia y Compara Cualquier Modelo
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Veo 3
Video + audioBreakthrough generative video modelo producing 4K footage con synchronized nativo audio y sound effects.
$6.00 / 1M
$400.00 / 1M
2K tokens
N/A
Veo 2
Generación de videoGenerative video modelo capaz de creating 1080p clips con realistic physics y cinematic camera movements.
$5.00 / 1M
$350.00 / 1M
1K tokens
N/A
Diferencias Clave de un Vistazo
- Veo 2 is 1.1x cheaper for API usage (input + output tokens combined).
- Veo 3 has a larger context window (2K vs 1K tokens).
- Veo 3 is faster at 12 tok/s vs 10 tok/s.
| Característica | Veo 3 | Veo 2 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 85 | 75 |
Provider | ||
Input Price Cost per million input tokens | $6.00 / 1M | $5.00 / 1M |
Output Price Cost per million output tokens | $400.00 / 1M | $350.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $41.20 / 1M | $36.00 / 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 | 4K |
Throughput Speed Tokens generated per second | 12 tok/s | 10 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
¿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.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
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.
Veo 3 · Strengths & Key Advantages
- Synchronous alto-fidelity environmental audio y voz
- Opción de renderizado cinematográfico en 4K
- Consistencia temporal fluida en generaciones de 30 segundos
Considerations & Trade-offs
- sustancial generación costo ($0.40/second)
- Tiempo de espera de renderizado de varios minutos
Veo 2 · Strengths & Key Advantages
- Understands film terminology like cinematic pan y tracking shot
- Simulación física consistente
- Crisp 1080p resolución
Considerations & Trade-offs
- video clips limitado un 5-10 seconds
- No nativo synchronized audio generación
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Veo 3 | Veo 2 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $2.50 | $1.75 |
Output Tokens / Task Tokens generated per task | 0K | 0K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Especificaciones Técnicas
Architecture, release timeline, capabilities, and modalities.
| Característica | Veo 3 | Veo 2 |
|---|---|---|
| Official API Model ID (SDK) | models/veo-3 | models/veo-2 |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-05 | 2024-12 |
| Knowledge Cutoff | February 2025 | October 2024 |
| Architecture | Joint multimodal audio-video diffusion transformer | High-definition video diffusion transformer with camera control |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 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 | Implicit + Explicit Context Caching at $0/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Vertex AI Supervised Adapter Tuning & Context 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 | Google DeepMind Frontier Safety Framework 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 Veo 2: Respuestas Rápidas (FAQ)
Which is more intelligent, Veo 3 or Veo 2?
Veo 3 is more intelligent. It scores 85 compared with 75 on the composite Intelligence Index.
Which model is faster?
Veo 3 is faster, generating 12 tokens per second compared with 10 tokens per second.
Which model is cheaper to run?
Veo 2 is cheaper at $36.00 per 1M tokens blended, compared with $41.20 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Veo 3 has lower latency, with a time to first token of 4.50s compared with 5.00s.
Which model has a larger context window?
Veo 3 has a larger context window, supporting 2K tokens compared with 1K tokens.
Veredicto
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 Veo 2 if your workflow prioritizes B-roll generation, social media video creative, and film prototyping. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Preguntas frecuentes
How does Veo 3 compare to Veo 2 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 Veo 2 costs $5.00 input and $350.00 output. Overall, Veo 2 is the more cost-effective model for high-volume API pipelines.
Which model has a larger context window: Veo 3 or Veo 2?+
Veo 3 supports a context window of 2K tokens (~2k words), while Veo 2 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 Veo 2?+
Veo 3 scores at the frontier of coding benchmarks, while Veo 2 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 Veo 2?+
Veo 3 is optimized for low-latency direct generation. In contrast, Veo 2 focuses on standard fast inference.
How does inference speed (tokens per second) compare between Veo 3 and Veo 2?+
Veo 3 generates approximately 12 tokens per second, while Veo 2 delivers 10 tokens per second. In latency-sensitive production environments, Veo 3 provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Veo 3 and Veo 2 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Veo 2 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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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: GetInfoUs Independent AI Benchmarks & Official API Specs