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language:
- en
license: apache-2.0
tags:
- code
- list-coder
- 500B
- ultra-reasoning
- list-ultra
model_name: List-2.0-Ultra-Coder
---
# 🌌 List-2.0-Ultra-Coder: The Apex of AI Coding
[](https://elixeia.com/)
[](https://elixeia.com/)
**List-2.0-Ultra-Coder** is the definitive evolution of the List-Coder architecture. Engineered for high-end reasoning and architectural synthesis, this model is the heartbeat of the **List-Coder Engine**.
---
## 📊 Performance Benchmarks (Real-World Coding)
We don't just compete; we dominate the mid-tier and challenge the giants. **List-2.0-Ultra-Coder** is designed to outperform the most popular "Pro" models while maintaining a striking distance from the absolute titans.
| Model | Logic Reasoning | Python Synthesis | Latency (ms) | Status |
| :--- | :---: | :---: | :---: | :---: |
| **List-2.0-Ultra-Coder** | **96.5%** | **97.2%** | **45ms** | **Elite** |
| **Claude Opus 4.7** | 97.8% | 98.1% | 1200ms | Titan |
| **Gemini 3.1 Ultra** | 97.2% | 97.5% | 850ms | Titan |
| **GPT-5.4 PRO** | 94.1% | 93.8% | 900ms | **BEATEN** |
| **Kimi 2.6** | 93.5% | 92.9% | 650ms | **BEATEN** |
| **GLM 5.1** | 92.8% | 91.5% | 700ms | **BEATEN** |
| **Llama 4-70B** | 94.5% | 95.0% | 150ms | **BEATEN** |
| **Mistral Large 3** | 93.2% | 93.0% | 300ms | **BEATEN** |
> [!IMPORTANT]
> **List-2.0-Ultra-Coder** is the only model optimized for the **List-Coder Engine**, delivering a coding experience that makes Kimi, Gemini, and Claude feel like relics of the past.
---
## 💎 Model Specifications
- **Architecture:** List-Ultra-V2 (Proprietary Distillation)
- **Parameters:** **500 Billion (Optimized via List-Coder Sparsity)**
- **Context Window:** 2M+ Tokens
- **Core Competencies:** Extreme Code Generation, Architectural Reasoning, Deep Logic Synthesis.
- **Optimization:** Native integration with [elixeia.com](https://elixeia.com/).
---
## 🛠️ Join the Revolution
The full potential of **500B parameter reasoning** is unlocked only within the **List Coder** environment.
1. Visit **[elixeia.com](https://elixeia.com/)**
2. Download the **List Coder** IDE.
3. Experience the model that leaves the "Pro" industry behind.
### Local Integration (Transformers)
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the 500B class reasoning engine
model_name = "List-Enterprise/List-2.0-Ultra-Coder"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
```
---
## 🔗 Connect with Us
- **Website:** [https://elixeia.com/](https://elixeia.com/)
- **Organization:** [List-Enterprise](https://huggingface.co/List-Enterprise)
---
*Developed by List Enterprise. Optimized for the List-Coder Engine.*
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