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.
Multi-Model Benchmark & Official Release Intelligence Matrix
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.
2 / 5 Models Active
1-Click Preset Multi-Model Stacks (4 Models):
Currently Compared Models:Gemini 2.0 Pro vs Claude 3.7 Sonnet Arena
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 | Google · 2025-02 | Anthropic · 2025-02 |
|---|---|---|
| 1. Official Benchmarks & Capability Scores (Green = Leader) | ||
| Intelligence Index (Composite) | 52 / 100 | 48 / 100 |
| SWE-bench Verified (Agentic Coding) | 63.8% | 70.3% |
| GPQA Diamond (PhD-Level Science) | 71.5% | 65% |
| LiveCodeBench (Competitive Coding) | 65.6% | 64.8% |
| AIME (Olympiad Competition Math) | 82.2% | 61.3% |
| MMLU-Pro (10-Choice Reasoning) | 79.8% | 78.2% |
| HumanEval (Code Synthesis) | 90.8% | 92.4% |
| Terminal-Bench (Agentic CLI Execution) | 42.1% | 35.2% |
| LMSYS Chatbot Arena Elo | 1330 | 1335 |
| 2. Token Pricing, Prompt Cache & Throughput Speed | ||
| Input Price (per 1M tokens) | $1.25 / 1M | $3.00 / 1M |
| Output Price (per 1M tokens) | $5.00 / 1M | $15.00 / 1M |
| Cached Input Price (per 1M tokens) | $0.310 / 1M | $0.300 / 1M |
| Blended Price (7:2:1 Cached Workload) | $0.97 / 1M | $2.31 / 1M |
| Context Window Capacity | 2M tokens | 200K tokens |
| Max Output Tokens | 8K tokens | 64K tokens |
| Output Speed (Tokens / sec) | 95 tok/s | 72 tok/s |
| Time to First Token (TTFT Latency) | 0.62s (620 ms) | 0.52s (520 ms) |
| 3. Official Provider Release Specs, API Quotas & Long-Context Rules | ||
| Official API Model ID (SDK) | models/gemini-2-pro | claude-3-7-sonnet-20250201 |
| API Protocol & Endpoint | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Lifecycle & GA Support Window | Active GA (Guaranteed support through 2027+) | Active GA (Guaranteed support through 2027+) |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 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 | Implicit + Explicit Context Caching at $0.31/1M with configurable TTL | $0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Custom Model Tuning via Amazon Bedrock & Prompt 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 Google Cloud API | Managed Anthropic Cloud API |
| Safety & Frontier Classification | Google DeepMind Frontier Safety Framework Verified | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| 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 | Multimodal Deep Reasoning Sparse MoE · Proprietary API | Hybrid Reasoning MoE · Proprietary API |
Interactive AI Model Comparator
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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.