Comparador Multi-Modelo de IA (2-4 Modelos)
Compara entre 2 y 4 modelos de IA de frontera lado a lado en benchmarks de programación y razonamiento, precios de tokens API, ventana de contexto y velocidad.
Compare Up to 5 AI Models Side-by-Side on One Page
Evaluate benchmark scores, token pricing, speed, and official provider release specs (API Model ID, Rate Limits, Computer Use, MCP, VRAM & ZDR Compliance) side by side.
Intelligence vs Blended Price (7:2:1)
Top-left quadrant delivers the highest intelligence per dollar
Intelligence vs Output Speed (tok/s)
Top-right quadrant delivers both frontier intelligence and real-time throughput
| Benchmark / Official Specification | Anthropic · 2024-11 | Google · 2024-12 |
|---|---|---|
| 1. Official Benchmarks & Capability Scores (Green = Leader) | ||
| Intelligence Index (Composite) | 36 / 100 | 40 / 100 |
| SWE-bench Verified (Agentic Coding) | 40.6% | 42% |
| GPQA Diamond (PhD-Level Science) | 41.6% | 55.4% |
| LiveCodeBench (Competitive Coding) | 43.6% | 44.9% |
| AIME (Olympiad Competition Math) | 47.8% | 63.7% |
| MMLU-Pro (10-Choice Reasoning) | 69.2% | 71% |
| HumanEval (Code Synthesis) | 88.1% | 87.5% |
| Terminal-Bench (Agentic CLI Execution) | 26.8% | 27.7% |
| LMSYS Chatbot Arena Elo | 1260 | 1302 |
| 2. Token Pricing, Prompt Cache & Throughput Speed | ||
| Input Price (per 1M tokens) | $0.80 / 1M | $0.10 / 1M |
| Output Price (per 1M tokens) | $4.00 / 1M | $0.40 / 1M |
| Cached Input Price (per 1M tokens) | $0.080 / 1M | $0.025 / 1M |
| Blended Price (7:2:1 Cached Workload) | $0.62 / 1M | $0.08 / 1M |
| Context Window Capacity | 200K tokens | 1.0M tokens |
| Max Output Tokens | 8K tokens | 8K tokens |
| Output Speed (Tokens / sec) | 130 tok/s | 240 tok/s |
| Time to First Token (TTFT Latency) | 0.38s (380 ms) | 0.28s (280 ms) |
| 3. Official Provider Release Specs, API Quotas & Long-Context Rules | ||
| Official API Model ID (SDK) | claude-3-5-haiku-20241101 | models/gemini-2-flash |
| API Protocol & Endpoint | Anthropic Messages API + AWS Bedrock + Vertex AI | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Lifecycle & GA Support Window | Legacy Stable (Upgrade path available in Anthropic lineup) | Legacy Stable (Upgrade path available in Google lineup) |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority 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) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | $0.08/1M cached read (90% off); 5-min default & 1-hour extended TTL | Implicit + Explicit Context Caching at $0.025/1M with configurable TTL |
| 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) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) |
| 4. Agentic Capabilities, Self-Hosting VRAM & Enterprise Compliance | ||
| Computer Use / Browser GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | 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 | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Code Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| 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) |
| Supported Inference Engines | Managed Anthropic Cloud API | Managed Google Cloud API |
| Safety & Frontier Classification | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | 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 |
| Architecture & Weights License | Optimized Lightweight Transformer · Proprietary API | Multimodal Flash MoE · Proprietary API |
Compare Any Two AI Models Head-to-Head
Select any two models across 33 global AI labs (Google, OpenAI, Anthropic, xAI, Meta, DeepSeek, Alibaba Qwen, Mistral & more) to evaluate token economics, speed, benchmarks, and context.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.