---
title: opus-5.1
canonical_url: "https://www.modelscope.ai/models/anthropic/opus-5.1"
md_url: "https://www.modelscope.ai/models/anthropic/opus-5.1.md"
repository: anthropic/opus-5.1
last_updated: 2026-07-25
library_name:
  - pytorch
frameworks:
  - Pytorch
downloads: 0
stars: 1
---

# opus-5.1

> opus-5.1 - An open-source model by anthropic on ModelScope. Introducing Opus-5.1, the latest breakthrough in large-scale language modeling. Built on a massive 5-trillion-parameter architecture, Opus-5.1 represents a generational leap in capability and…

- **Repository**: anthropic/opus-5.1
- **Downloads**: 0
- **Stars**: 1
- **Last updated**: 2026-07-25

Source: https://www.modelscope.ai/models/anthropic/opus-5.1

---

# Opus-5.1

> **Status:** 🚧 Coming Soon | **Parameters:** 5 Trillion (5T) | **Efficiency:** High

Welcome to the official repository for **Opus-5.1**, the next-generation large language model engineered for unprecedented capability and radical cost efficiency. 

⚠️ **Please Note:** Opus-5.1 is currently in final development and is **not yet available** for public download, API access, or local deployment. This repository serves as a placeholder and informational hub for the upcoming release.

## 🚀 What to Expect

Opus-5.1 represents a generational leap in AI, featuring:
- **5 Trillion Parameters:** Unmatched scale for complex reasoning, advanced coding, and deep analytical tasks.
- **Radical Cost Efficiency:** A novel sparse Mixture-of-Experts (MoE) architecture and advanced quantization reduce per-token inference costs by ~40% compared to previous frontier models.
- **1M+ Token Context:** Seamlessly ingest and reason over entire codebases, books, or massive datasets in a single pass.
- **Enhanced Tool Use:** Native orchestration for chaining API calls, database queries, and external computations.

## 📅 Release Roadmap

We are currently completing final alignment phases, extensive safety red-teaming, and hardware optimization. The rollout will occur in stages:
1. **Phase 1:** Private API access for select enterprise partners.
2. **Phase 2:** Broader public rollout via standard API endpoints.
3. **Phase 3:** Downloadable weights for supported enterprise on-premise deployments.

## ⏳ In the Meantime

Please continue using **Opus-5.0** for your active production workloads. 

🔔 **Stay Updated:** Watch this repository or subscribe to our official newsletter for real-time notifications regarding the exact release timeline, comprehensive technical documentation, and integration guides.

Thank you for your patience as we finalize the future of efficient, frontier artificial intelligence.