Claude Opus 5

Claude Opus 5

Anthropic
Yi-Large

Yi-Large

01.AI
+
+

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About

Claude Opus 5 is Anthropic’s advanced everyday AI model built for coding, knowledge work, problem-solving, visual outputs, and production AI workflows. The model delivers stronger performance than Opus 4.8 at the same base price and is positioned as a cost-effective alternative close to Claude Fable 5 frontier intelligence. Claude Opus 5 supports configurable effort settings so users can optimize for intelligence, speed, or token efficiency. It performs especially well on software engineering, automation, computer use, scientific research, and knowledge work evaluations. The model is available on Claude Max, Claude Pro, Claude API, Claude Code, and other Claude platforms, with Fast mode available at a higher price. Built for developers, researchers, enterprises, and everyday Claude users, Claude Opus 5 helps teams complete complex tasks with stronger verification, careful iteration, and practical cost efficiency.

About

Yi-Large is a proprietary large language model developed by 01.AI, offering a 32k context length with both input and output costs at $2 per million tokens. It stands out with its advanced capabilities in natural language processing, common-sense reasoning, and multilingual support, performing on par with leading models like GPT-4 and Claude3 in various benchmarks. Yi-Large is designed for tasks requiring complex inference, prediction, and language understanding, making it suitable for applications like knowledge search, data classification, and creating human-like chatbots. Its architecture is based on a decoder-only transformer with enhancements such as pre-normalization and Group Query Attention, and it has been trained on a vast, high-quality multilingual dataset. This model's versatility and cost-efficiency make it a strong contender in the AI market, particularly for enterprises aiming to deploy AI solutions globally.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, AI agent builders, software engineering teams, researchers, enterprise AI teams, knowledge workers, Claude Max users, Claude Pro users, API developers, scientific teams, automation builders, and organizations that need advanced coding, reasoning, computer use, business automation, scientific research, visual outputs, configurable effort, and cost-effective frontier-level AI performance

Audience

Developers, researchers, and enterprises seeking a high-performance AI model for advanced natural language processing, coding, and data-driven decision-making

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$5 per 1M tokens (input)
$5 per million input tokens and $25 per million output tokens
Free Version
Free Trial

Pricing

$0.19 per 1M input token
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Claude Opus 5 feels like a really strong model from a developer’s point of view. It is built for the kind of work I actually care about: complex coding, long-running agents, repo-level reasoning, debugging, and professional workflows that need more than a quick answer. I like that Anthropic is positioning it as a big improvement over Opus 4.8 while still making it more cost-effective than Fable 5. That matters a lot if you are building coding agents or internal dev tools where the model may run through a lot of tokens across planning, editing, testing, and iteration. The long-running agent focus is probably the biggest win. If a model can stay organized through multi-step tasks, recover from mistakes, and keep making progress without constant hand-holding, that is exactly what developers need from the next wave of AI coding tools.

Cons

  • The main downside is that I would still want to test it hard before trusting it with production code. Launch claims are useful, but real codebases are messy, full of edge cases, and usually much harder than polished benchmark tasks. It is also not the cheapest model in the world. Even if it is more affordable than Fable 5, developers will still need to route tasks carefully and avoid using a premium model for simple work that a faster or cheaper model could handle.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Anthropic
Founded: 2021
United States
claude.ai

Company Information

01.AI
Founded: 2023
China
www.01.ai/

Alternatives

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Categories

Categories

Integrations

GitHub
Aider
Bind AI
C#
Charlie
Claude Science
Dart
JetBrains Junie
Kubernetes
Model Context Protocol (MCP)
Node.js
PHP
Perplexity Computer
PowerShell
RubyMine
Scala
Shiori
Simtheory
Twigg
Vellum

Integrations

GitHub
Aider
Bind AI
C#
Charlie
Claude Science
Dart
JetBrains Junie
Kubernetes
Model Context Protocol (MCP)
Node.js
PHP
Perplexity Computer
PowerShell
RubyMine
Scala
Shiori
Simtheory
Twigg
Vellum
Claim Claude Opus 5 and update features and information
Claim Claude Opus 5 and update features and information
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