Claude Opus 5.5

Claude Opus 5.5

Anthropic
Inkling

Inkling

Thinking Machines Lab
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About

Claude Opus 5.5 is Anthropic’s advanced AI model for agentic coding, complex knowledge work, computer use, research, and long-running professional tasks. It is designed to handle large codebases, multi-step workflows, financial analysis, document creation, software audits, and other demanding workloads with improved efficiency over Claude Opus 5. Anthropic reports that Opus 5.5 uses fewer tokens per task, produces output more than 30% faster, and costs less to run than its predecessor. The model also improves communication quality by putting important information first, reducing unnecessary jargon, and following writing instructions more consistently. Safety enhancements include stronger prompt-injection resistance, action screening, sandboxing support, code review, behavioral alignment testing, and safeguards for high-risk cybersecurity & biology. Claude Opus 5.5 is available through Claude, Claude Code, the Claude Platform API, Amazon Web Services, Google Cloud, and Microsoft Azure.

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

Software developers, AI engineers, researchers, analysts, legal and financial professionals, enterprises, and other organizations that need a high-capability model for coding, knowledge work, computer use, and long-running agentic workflows

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

$4 per 1M tokens (input)
$4 per million input tokens and $20 per million output tokens.

Cache reads, which account for most costs in agentic and coding workloads, are priced at just $0.20 per million tokens which is 60% cheaper than Opus 5. Opus 5.5 also delivers output over 30% faster than its predecessor.
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

  • After using it, the biggest thing I notice is how much better it is at sustained work. It stays organized across long coding sessions, multi-file changes, research tasks, and agent workflows without needing nearly as much babysitting. The coding performance is excellent. Anthropic reports 54.6% on FrontierCode 1.1 at default effort, ahead of GPT-6 Astra’s reported 53.3%, and I can see why. It is especially good at understanding a large task, making sensible changes, and avoiding unnecessary edits. I also really like the efficiency. At $4 per million input tokens and $20 per million output tokens, plus much cheaper cache reads, Opus 5.5 is easier to use heavily than Opus 5. Anthropic says typical workloads come out around 40% cheaper overall. Another improvement is the writing. It is noticeably less verbose and easier to follow, which matters a lot during long sessions when I need to quickly understand what the model changed and why.

Cons

  • The main downside is that it is still a premium model, so I would not waste it on every trivial task. And like any coding agent, I still review diffs, run tests, and keep permissions tight.

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

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Claude Sonnet 5

Claude Sonnet 5

Anthropic
Inkling-Small

Inkling-Small

Thinking Machines Lab
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Model Context Protocol (MCP)
AgentSea
AiAssistWorks
CSS
CSS
Charlie
Cheaper Inference
Claude
Cursor
Dart
Devin Desktop
F#
Julia
OpenClaw.Direct
Pi Agent
Ruby
Rust
RustRover
Snowflake
WebStorm

Integrations

Model Context Protocol (MCP)
AgentSea
AiAssistWorks
CSS
CSS
Charlie
Cheaper Inference
Claude
Cursor
Dart
Devin Desktop
F#
Julia
OpenClaw.Direct
Pi Agent
Ruby
Rust
RustRover
Snowflake
WebStorm
Claim Claude Opus 5.5 and update features and information
Claim Claude Opus 5.5 and update features and information
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