Multi-Model AI Comparator (2-4 Models)
Compare any 2 to 4 frontier AI models side by side across Intelligence Index, coding & reasoning benchmarks, API token pricing, context window, and inference speed.
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.
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.