Claude Opus 5.5

Claude Opus 5.5

Anthropic
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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

MiniMax M3.1 Flash is a hosted large language model for developers building coding assistants, AI agents, and software applications. Available through MiniMax’s API and MiniMax Code, it accepts text, image, and video input and generates text responses. Documented uses include code generation and debugging, multi-step reasoning, tool use, codebase and document analysis, and computer-use workflows. The API offers a context window of up to 1 million tokens, adjustable reasoning effort, and OpenAI-compatible and Anthropic-compatible request formats. Usage is billed by input, output, and cached-input tokens. MiniMax provides documentation for API integration and model use. M3.1 Flash is available through the hosted API, M Plan, and MiniMax Code; model weights are planned for a later release.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Software developers and organizations building coding assistants, AI agents, and applications that use a hosted language model.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

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 Not Supported
Free Trial Not Supported

Pricing

$0.15/1M input tokens
Input: $0.15 per 1 million tokens; output: $0.60 per 1 million tokens; cached input: $0.015 per 1 million tokens. Standard pay-as-you-go billing in USD, based on token usage.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • It feels noticeably faster than M3 while still being strong enough for coding, research, computer-use tasks, and longer agent workflows. The 1M-token context window is a big advantage too. I can keep large repos, long documents, screenshots, video context, and a lot of prior agent history in the same session without constantly trimming things down. The pricing is probably the best part. At $0.15 per million input tokens and $0.60 per million output tokens, I can run it heavily without worrying that every agent loop is getting expensive. I also like how much MiniMax improved the agent side. M3.1 Flash is aimed at real multi-step work across coding, enterprise automation, computer use, and even cybersecurity, rather than just fast chat responses.

Cons

  • The main downside is that reasoning is always enabled, so it is not quite as lightweight as a pure instant-response model for trivial tasks.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Anthropic
Founded: 2021
United States
claude.ai

Company Information

MiniMax
Founded: 2022
China
www.minimax.io/blog/minimax-m31f

Alternatives

Alternatives

MiniMax M3

MiniMax M3

MiniMax
Claude Fable 5

Claude Fable 5

Anthropic
MiniMax

MiniMax

MiniMax AI

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

BLACKBOX AI Supported
Claude Code Supported
Clawd.run Supported
Factory Droid Supported
Hermes Agent Supported
Model Context Protocol (MCP) Supported
OpenClaw Supported
OpenTag Supported
Pi Agent Supported
Amazon Bedrock Supported
Claude Max Supported
Dessix Supported
MaxHermes Not Supported
MiniMax Agent Not Supported
Muses Supported
Ollama Not Supported
OpenClaw.Direct Supported
Revise Supported
TypeScript Supported
Yonoo Supported

Integrations

BLACKBOX AI Supported
Claude Code Supported
Clawd.run Supported
Factory Droid Supported
Hermes Agent Supported
Model Context Protocol (MCP) Supported
OpenClaw Supported
OpenTag Supported
Pi Agent Supported
Amazon Bedrock Not Supported
Claude Max Not Supported
Dessix Not Supported
MaxHermes Supported
MiniMax Agent Supported
Muses Not Supported
Ollama Supported
OpenClaw.Direct Not Supported
Revise Not Supported
TypeScript Not Supported
Yonoo Not Supported
Claim Claude Opus 5.5 and update features and information
Claim Claude Opus 5.5 and update features and information
Claim MiniMax M3.1 Flash and update features and information
Claim MiniMax M3.1 Flash and update features and information