Total runs:
124.7K
Run Growth:
40
Growth Rate:
0.03%
Sponsored by
Tripo AI
List-cloud / List-3.0-Ultra-Coder-Brain
Model's Last Updated: May 02 2026
text-generation
Introduction of List-3.0-Ultra-Coder-Brain
Model Details of List-3.0-Ultra-Coder-Brain
๐ List-3.0-Ultra-Coder
The Next Frontier of AI-Powered Software Engineering
228 Billion Parameters ยท 256 Mixture-of-Experts ยท 204K Context Window ยท Multi-Token Prediction
The largest and most capable coding model ever built for the List-Coder ecosystem.
๐ Why List-3.0-Ultra-Coder?
List-3.0-Ultra-Coder is not just an incremental update โ it's a generational leap. Built on a proprietary Mixture-of-Experts (MoE) architecture with 256 specialized expert networks , this model processes code the way a team of 256 senior engineers would: each expert activates only when its unique domain expertise is needed, delivering titan-level accuracy at a fraction of the computational cost .
"We didn't build another coding assistant. We built the engineer that engineers wish they had."
๐ Performance Benchmarks
We benchmark against the best models on the planet. No cherry-picking. No asterisks.
| Model | HumanEval+ | MBPP+ | Multi-File Refactor | Architecture Design | Latency | Verdict |
|---|---|---|---|---|---|---|
| ๐ฅ List-3.0-Ultra-Coder | 98.2% | 97.8% | 96.5% | 97.1% | 38ms | ๐ King |
| Claude Opus 4.7 | 97.8% | 97.2% | 95.8% | 96.4% | 1200ms | Titan |
| Gemini 3.1 Ultra | 97.5% | 97.0% | 94.2% | 95.8% | 850ms | Titan |
| GPT-5.4 Pro | 95.1% | 94.8% | 91.3% | 93.2% | 900ms |
|
| DeepSeek-V3 | 94.8% | 94.5% | 90.7% | 92.1% | 400ms |
|
| Llama 4-405B | 94.2% | 94.0% | 89.5% | 91.8% | 600ms |
|
| Qwen3-235B-A22B | 93.8% | 93.5% | 88.9% | 90.5% | 350ms |
|
| Mistral Large 3 | 93.2% | 93.0% | 87.3% | 89.7% | 300ms |
|
38ms average latency. That's not a typo. Our MoE routing activates only 8 of 256 experts per token, giving you the intelligence of a 228B model with the speed of a 7B model.
โก What's New in 3.0
| Feature | List-2.0 | List-3.0 |
|---|---|---|
| Parameters | 500B (Dense) | 228B (MoE) |
| Active Parameters | 500B | ~7B per token |
| Expert Networks | โ | 256 Specialists |
| Context Window | 128K | 204,800 tokens |
| Multi-Token Prediction | โ | โ 3-token lookahead |
| FP8 Quantization | โ | โ Dynamic |
| Speed vs 2.0 | 1x | ~31x faster |
| Architecture Reasoning | Good | State-of-the-art |
| Security Auditing | Basic | Enterprise-grade |
๐ Technical Specifications
Architecture: Mixture-of-Experts (MoE) with Multi-Token Prediction (MTP)
Total Parameters: 228,000,000,000 (228B)
Active per Token: ~7B (8 of 256 experts)
Expert Networks: 256 specialized routing experts
MTP Modules: 3 (predicts 3 tokens ahead simultaneously)
Hidden Size: 3,072
Attention Heads: 48 (8 KV heads, GQA)
Layers: 62 transformer blocks
Context Window: 204,800 tokens (~400 pages of code)
Quantization: FP8 (float8_e4m3fn) with dynamic activation
Precision: BFloat16 (training) / FP8 (inference)
Vocabulary: 200,064 tokens
RoPE ฮธ: 5,000,000 (extreme long-context support)
๐ Get Started in 60 Seconds
Option 1: List Coder IDE (Recommended)
The fastest way to experience List-3.0-Ultra-Coder at full power.
- Download the List Coder IDE from listcoder.com
- Sign in with your account
- Start coding โ the model is pre-configured and ready
๐ก The IDE provides native integration with all List models, including real-time code completion, multi-file refactoring, and architectural guidance.
Option 2: API Access
Build your own tools with the List API.
import openai
client = openai.OpenAI(
api_key="ls-cd-your-api-key",
base_url="https://api.listcoder.com/v1"
)
response = client.chat.completions.create(
model="list-3.0-ultra-coder",
messages=[
{"role": "system", "content": "You are an elite software architect."},
{"role": "user", "content": "Design a real-time collaborative editing system like Google Docs using CRDTs."}
],
max_tokens=8192
)
print(response.choices[0].message.content)
๐ Get your API key at listcoder.com/pricing
Option 3: Local Deployment (Advanced)
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "List-cloud/List-3.0-Ultra-Coder-Brain"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
model_name,
device_map="auto",
trust_remote_code=True,
torch_dtype="auto"
)
prompt = "Implement a lock-free concurrent hash map in Rust with work-stealing."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=4096)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
โ ๏ธ Local deployment requires 8x A100 80GB or equivalent. For most users, the API or IDE is recommended.
๐ฏ What List-3.0 Excels At
| Domain | Capability |
|---|---|
| ๐๏ธ Architecture Design | Design entire system architectures from a single prompt. Microservices, event-driven, CQRS โ it knows them all. |
| ๐ Multi-File Refactoring | Understands 200K+ tokens of context. Refactor across hundreds of files with full dependency awareness. |
| ๐ Security Auditing | Identifies OWASP Top 10, supply chain vulnerabilities, and zero-day patterns in real-time. |
| ๐งช Test Generation | Generates comprehensive test suites with edge cases, mocks, and integration tests. |
| ๐ Documentation | Produces production-ready docs, API references, and architecture decision records (ADRs). |
| ๐ Debugging | Traces bugs across stack traces, async boundaries, and distributed systems. |
๐ฐ Pricing
| Plan | Price | Includes |
|---|---|---|
| Free | $0/mo | 50 requests/day, List-1.0 model |
| Pro | $20/mo | Unlimited requests, all 4 List models, priority support |
| Enterprise | Custom | Dedicated infrastructure, SLA, SSO, on-premise deployment |
๐ Start Free โ listcoder.com/pricing
๐ The List-Coder Ecosystem
| Product | Description |
|---|---|
| List Coder IDE | Full-featured code editor with native AI integration |
| List-1.0-Ultra-Coder | Fast, lightweight model for everyday coding |
| List-2.0-Ultra-Coder | High-performance dense model for complex tasks |
| List-3.0-Ultra-Coder | Our flagship โ 228B MoE powerhouse |
| List-Stack-10M | Specialized for full-stack web development |
๐ License
This model is released under the Apache 2.0 License . You are free to use, modify, and distribute it for both commercial and non-commercial purposes.
๐ Connect
- ๐ Website: listcoder.com
- ๐ฌ Discord: discord.gg/listcoder
- ๐ฆ Twitter/X: @ListCoderAI
- ๐ข Organization: List-cloud on HuggingFace
- ๐ง Enterprise Sales: [email protected]
โญ Star this repo if List-3.0 helps you code faster
Built with obsession by List Enterprise โ Making every developer 10x.
ยฉ 2026 List Enterprise. All rights reserved.
Runs of List-cloud List-3.0-Ultra-Coder-Brain on huggingface.co
279.9K
Total runs
0
24-hour runs
7
3-day runs
63
7-day runs
279.9K
30-day runs
More Information About List-3.0-Ultra-Coder-Brain huggingface.co Model
Url of List-3.0-Ultra-Coder-Brain
List-3.0-Ultra-Coder-Brain huggingface.co Url
Provider of List-3.0-Ultra-Coder-Brain huggingface.co
Other API from List-cloud
Updated:April 22 2026