Claude Opus 5

Claude Opus 5

Anthropic
Inkling

Inkling

Thinking Machines Lab
+
+

Related Products

  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • Retool
    584 Ratings
    Visit Website
  • JAMS
    279 Ratings
    Visit Website
  • ZenTreasury
    9 Ratings
    Visit Website
  • Checksum.ai
    1 Rating
    Visit Website
  • Concord
    237 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • Apify
    1,441 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website

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

Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.

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

AI developers, researchers, model fine-tuning teams, enterprise AI groups, agent builders, coding tool makers, multimodal AI teams, infrastructure providers, and organizations that need open-weights models for customization, long-context reasoning, vision, audio, tool use, and specialized AI applications

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

Free
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

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic

Alternatives

Bonsai 27B

Bonsai 27B

PrismML
Claude Mythos 5

Claude Mythos 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Opus 4.8

Claude Opus 4.8

Anthropic
Claude Opus 4.6

Claude Opus 4.6

Anthropic
Claude Sonnet 5

Claude Sonnet 5

Anthropic
Qwen3.5

Qwen3.5

Alibaba
Claude Opus 4.5

Claude Opus 4.5

Anthropic
Pixtral Large

Pixtral Large

Mistral AI

Categories

Categories

Integrations

Model Context Protocol (MCP)
AiAssistWorks
C
C#
CSS
DataGrip
Flowise
GitHub Copilot
IntelliJ IDEA
Java
Kotlin
Lua
MyClaw
OfoxAI
Pi Agent
Revise
Ruby
RustRover
Trinity-Large-Thinking
Use AI

Integrations

Model Context Protocol (MCP)
AiAssistWorks
C
C#
CSS
DataGrip
Flowise
GitHub Copilot
IntelliJ IDEA
Java
Kotlin
Lua
MyClaw
OfoxAI
Pi Agent
Revise
Ruby
RustRover
Trinity-Large-Thinking
Use AI
Claim Claude Opus 5 and update features and information
Claim Claude Opus 5 and update features and information
Claim Inkling and update features and information
Claim Inkling and update features and information