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.
4 / 5 Models Active
1-Click Preset Multi-Model Stacks (4 Models):
Currently Compared Models:GPT-6 Astra vs Gemini 4 Argon 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 | OpenAI · 2026-09 | Google · 2026-09 | Anthropic · 2026-09 | OpenAI · 2026-09 |
|---|---|---|---|---|
| 1. Official Benchmarks & Capability Scores (Green = Leader) | ||||
| Intelligence Index (Composite) | 96 / 100 | 97 / 100 | 94 / 100 | 94 / 100 |
| SWE-bench Verified (Agentic Coding) | 82.4% | 81.9% | 84.6% | 82.3% |
| GPQA Diamond (PhD-Level Science) | 80.9% | 81.5% | 82.3% | 80.8% |
| LiveCodeBench (Competitive Coding) | 79.8% | 80.5% | 83.1% | 79.7% |
| AIME (Olympiad Competition Math) | 93.6% | 94.8% | 95.4% | 93.5% |
| MMLU-Pro (10-Choice Reasoning) | 89.9% | 90.8% | 91.5% | 89.9% |
| HumanEval (Code Synthesis) | 97.8% | 97.2% | 98.4% | 97.8% |
| Terminal-Bench (Agentic CLI Execution) | 63.8% | 57.4% | 66.4% | 63.6% |
| LMSYS Chatbot Arena Elo | 1520 | 1525 | 1507 | 1519 |
| 2. Token Pricing, Prompt Cache & Throughput Speed | ||||
| Input Price (per 1M tokens) | $10.00 / 1M | $2.00 / 1M | $4.00 / 1M | $2.00 / 1M |
| Output Price (per 1M tokens) | $50.00 / 1M | $10.00 / 1M | $20.00 / 1M | $10.00 / 1M |
| Cached Input Price (per 1M tokens) | $1.000 / 1M | $0.100 / 1M | $0.400 / 1M | $0.100 / 1M |
| Blended Price (7:2:1 Cached Workload) | $7.70 / 1M | $1.47 / 1M | $3.08 / 1M | $1.47 / 1M |
| Context Window Capacity | 272K tokens | 1M tokens | 1M tokens | 1M tokens |
| Max Output Tokens | 128K tokens | 1M tokens | 128K tokens | 128K tokens |
| Output Speed (Tokens / sec) | 100 tok/s | 115 tok/s | 78 tok/s | 120 tok/s |
| Time to First Token (TTFT Latency) | 0.95s (950 ms) | 0.85s (850 ms) | 1.40s (1400 ms) | 1.12s (1120 ms) |
| 3. Official Provider Release Specs, API Quotas & Long-Context Rules | ||||
| Official API Model ID (SDK) | gpt-6-astra | models/gemini-4-argon | claude-opus-5-5-20260901 | gpt-6-1-sol |
| API Protocol & Endpoint | OpenAI Responses API & Chat Completions v1 | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Lifecycle & GA Support Window | Active GA (Guaranteed support through 2028+) | Active GA (Guaranteed support through 2028+) | Active GA (Guaranteed support through 2028+) | Active GA (Guaranteed support through 2028+) |
| 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) · 4,000,000 – 10,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($10/1M in) across full 272K window | 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 | Flat rate ($2/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $1/1M (no extra cache-write fee) | Implicit + Explicit Context Caching at $0.1/1M with configurable TTL | $0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL | Automatic prefix caching at $0.1/1M (no extra cache-write fee) |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) | 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) | 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) | 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 | 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 tool + Hosted Code Interpreter & File Search RAG | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Vertex AI Supervised Adapter Tuning & Context Distillation | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| 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) | 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 OpenAI Cloud API | Managed Google Cloud API | Managed Anthropic Cloud API | Managed OpenAI Cloud API |
| Safety & Frontier Classification | OpenAI Preparedness Framework Audited & System Card Published | Google DeepMind Frontier Safety Framework Verified | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | 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 | 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 | Omni-Adaptive Autoregressive with Dynamic CoT · Proprietary API | Pathways Multimodal Sparse Mixture-of-Experts · Proprietary API | Extended Autonomous Hybrid Reasoning Transformer · Proprietary API | Near-Astra unified reasoning model · Proprietary API |
Interactive AI Model Comparator
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.