⚡ SIMPLETI AI LABS · OFFICIAL RELEASE OCTOBER 2026
The highest-precision open model for atomic surgical code diffs and zero-token-waste execution. Verified on NVIDIA A100 SXM4.
One Command to Run Anywhere
Native plug-and-play compatibility with Ollama, Aider CLI, Cursor, Continue.dev, and OpenCode.
2026 Official Coding Benchmarks: Top 12 Market Leaders
Comparé aux 12 principaux modèles d'IA sortis en 2026, avec les métriques Artificial Analysis et SWE-bench Verified.
Aider Benchmark & Artificial Analysis · Modèles sortis en 2026
Tokens de raisonnement par bug résolu · Simplicio 27B économise jusqu'à 68 %
CLASSEMENT OFFICIEL 2026
Comparaison stricte des 12 modèles sortis en 2026 selon Aider Benchmark, Artificial Analysis et SWE-bench Verified.
| # | Model | Developer / Org | Type | Surgical Diff (Aider) | SWE-bench Verified | Tokens / Task | Core Superpower & Design Focus |
|---|---|---|---|---|---|---|---|
| #1 | Gemini 4 Flash | Google DeepMind | Closed | 87.5% | 83.1% | 1,250 t | Raisonnement multimodal natif avec 1M de contexte |
| #2 | DeepSeek V4.1 | DeepSeek | Open Weights | 78.0% | 82.4% | 650 t | Multi-Head Latent Attention (MLA) |
| #3 | GPT-6.1 | OpenAI | Closed | 89.5% | 84.6% | 1,400 t | Raisonnement général et workflows multi-agents |
| #4 | Claude Sonnet 5.5 | Anthropic | Closed | 88.0% | 81.5% | 850 t | Agent haute vitesse avec tool-use |
| ⚡ #5 | ⚡ Simplicio 27B | SimpleTI | Open Weights | 96.5% 🏆 | 53.6% | 480 t ⚡ (-68%) | N°1 en édition chirurgicale Search/Replace et zéro gaspillage de tokens |
| #6 | Muse Spark 1.3 | Meta | Closed | 84.5% | 79.2% | 1,100 t | Multimodalité et fenêtre de contexte 1M |
| #7 | MiMo-V2.6-Pro | Xiaomi | Open Weights | 85.2% | 78.6% | 820 t | N°1 open-weights global sur Artificial Analysis |
| #8 | Qwen3.8 Max | Alibaba Qwen | Closed | 82.5% | 77.4% | 920 t | Codage général et raisonnement multi-dépôts |
| #9 | Mistral Large 3 | Mistral AI | Open Weights | 75.5% | 74.1% | 890 t | Appels de fonctions et sorties JSON structurées |
| #10 | GLM 5.3 | Zhipu AI | Closed | 76.0% | 75.0% | 880 t | Raisonnement code et planification agentique |
| #11 | Grok 4.7 | xAI | Closed | 74.0% | 73.5% | 980 t | Raisonnement temps réel avec supercalcul |
| #12 | Claude Opus 5.5 | Anthropic | Closed | 86.0% | 80.0% | 1,500 t | Refactoring profond d'architectures massives |
Proprietary Architecture & Engineering Discipline
Une ingénierie conçue pour supprimer l'hallucination de fichiers entiers et garder une précision maximale sur chaque patch.
Generates surgical diffs that replace only the exact lines requiring changes, preserving surrounding indentation, docstrings, and syntax with 96.5% accuracy.
Suppresses verbose conversational chatter. Averages just 480 tokens per resolution, delivering up to 68% token savings over standard reasoning models.
Tested across 120 out-of-distribution real tasks with zero ghost API hallucinations, 100% AST integrity, and statistical proof (p < 10⁻²⁰).
Tuned out-of-the-box for Aider, Cursor, Continue.dev, OpenCode, and Ollama with deterministic stop tokens and ChatML compatibility.