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:GPT-6 Astra vs Qwen3.7 Max 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 | Alibaba · 2026-05 |
|---|---|---|
| 1. Official Benchmarks & Capability Scores (Green = Leader) | ||
| Intelligence Index (Composite) | 96 / 100 | 92 / 100 |
| SWE-bench Verified (Agentic Coding) | 82.4% | 73.5% |
| GPQA Diamond (PhD-Level Science) | 80.9% | 78.5% |
| LiveCodeBench (Competitive Coding) | 79.8% | N/A |
| AIME (Olympiad Competition Math) | 93.6% | 86% |
| MMLU-Pro (10-Choice Reasoning) | 89.9% | 88.5% |
| HumanEval (Code Synthesis) | 97.8% | 97.5% |
| Terminal-Bench (Agentic CLI Execution) | 63.8% | N/A |
| LMSYS Chatbot Arena Elo | 1520 | 1470 |
| 2. Token Pricing, Prompt Cache & Throughput Speed | ||
| Input Price (per 1M tokens) | $10.00 / 1M | $1.80 / 1M |
| Output Price (per 1M tokens) | $50.00 / 1M | $7.20 / 1M |
| Cached Input Price (per 1M tokens) | $1.000 / 1M | $0.180 / 1M |
| Blended Price (7:2:1 Cached Workload) | $7.70 / 1M | $1.21 / 1M |
| Context Window Capacity | 272K tokens | 1M tokens |
| Max Output Tokens | 128K tokens | 32K tokens |
| Output Speed (Tokens / sec) | 100 tok/s | 80 tok/s |
| Time to First Token (TTFT Latency) | 0.95s (950 ms) | 0.58s (580 ms) |
| 3. Official Provider Release Specs, API Quotas & Long-Context Rules | ||
| Official API Model ID (SDK) | gpt-6-astra | qwen3-7-max-instruct |
| API Protocol & Endpoint | OpenAI Responses API & Chat Completions v1 | Alibaba REST API (OpenAI-Compatible) |
| Lifecycle & GA Support Window | 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 | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($10/1M in) across full 272K window | Flat rate ($1.8/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $1/1M (no extra cache-write fee) | Cached input at $0.18/1M tokens |
| 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) |
| 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 | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | 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 OpenAI Cloud API | Managed Alibaba Cloud API |
| Safety & Frontier Classification | OpenAI Preparedness Framework Audited & System Card Published | Alibaba 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 | Omni-Adaptive Autoregressive with Dynamic CoT · Proprietary API | Next-Generation Deep Frontier Reasoning Transformer · 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.
Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.