Comparateur Multi-Modèles d’IA (2 à 4 Modèles)
Comparez 2 à 4 modèles d’IA de pointe côte à côte : benchmarks de code et raisonnement, tarifs tokens API, fenêtre de contexte et vitesse d’inférence.
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 Flash-Lite vs Amazon Nova Lite 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 | Amazon · 2024-12 |
|---|---|---|
| 1. Official Benchmarks & Capability Scores (Green = Leader) | ||
| Intelligence Index (Composite) | 48 / 100 | 38 / 100 |
| SWE-bench Verified (Agentic Coding) | N/A | 31.2% |
| GPQA Diamond (PhD-Level Science) | N/A | 42% |
| LiveCodeBench (Competitive Coding) | N/A | 34.2% |
| AIME (Olympiad Competition Math) | N/A | 39.5% |
| MMLU-Pro (10-Choice Reasoning) | 72.5% | 61.2% |
| HumanEval (Code Synthesis) | 82% | 80.5% |
| Terminal-Bench (Agentic CLI Execution) | N/A | 20.5% |
| LMSYS Chatbot Arena Elo | 1305 | 1230 |
| 2. Token Pricing, Prompt Cache & Throughput Speed | ||
| Input Price (per 1M tokens) | $0.07 / 1M | $0.06 / 1M |
| Output Price (per 1M tokens) | $0.30 / 1M | $0.24 / 1M |
| Cached Input Price (per 1M tokens) | $0.019 / 1M | $0.015 / 1M |
| Blended Price (7:2:1 Cached Workload) | $0.06 / 1M | $0.05 / 1M |
| Context Window Capacity | 1.0M tokens | 300K tokens |
| Max Output Tokens | 8K tokens | 8K tokens |
| Output Speed (Tokens / sec) | 280 tok/s | 135 tok/s |
| Time to First Token (TTFT Latency) | 0.29s (290 ms) | 0.28s (280 ms) |
| 3. Official Provider Release Specs, API Quotas & Long-Context Rules | ||
| Official API Model ID (SDK) | models/gemini-2-0-flash-lite | nova-lite |
| API Protocol & Endpoint | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Amazon REST API (OpenAI-Compatible) |
| Lifecycle & GA Support Window | Active GA (Guaranteed support through 2027+) | Legacy Stable (Upgrade path available in Amazon lineup) |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production 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 | Flat rate ($0.06/1M in) across full 300K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.01875/1M with configurable TTL | Cached input at $0.015/1M tokens |
| 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) · 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) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | API Prompt Engineering & RAG 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 Amazon Cloud API |
| Safety & Frontier Classification | Google DeepMind Frontier Safety Framework Verified | Amazon Production Safety & Alignment 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 | Distilled lightweight multimodal transformer · Proprietary API | High-Speed Multimodal Foundation Transformer · 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.
Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.