Claude Opus 5

Claude Opus 5

Anthropic
Kimi K3

Kimi K3

Moonshot 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

Kimi K3 is Moonshot AI’s most capable model, built for frontier intelligence scenarios such as software engineering, knowledge work, deep reasoning, and multimodal understanding. The model has 2.8 trillion parameters and uses Kimi Delta Attention, a hybrid linear attention mechanism, along with Attention Residuals for long-context performance. Kimi K3 supports a 1 million token context window, making it useful for analyzing large codebases, long documents, complex knowledge bases, and multi-step workflows. It includes native visual understanding for images and videos, with support for structured message formats, base64 image input, uploaded video files, and multimodal reasoning. Developers can use Kimi K3 through an OpenAI-compatible API with support for streaming, structured JSON output, partial mode, custom tools, dynamic tool loading, and automatic context caching.

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, AI agent builders, software engineering teams, research teams, enterprise AI groups, data teams, product teams, and organizations that need long-context reasoning, multimodal understanding, structured output, tool calling, coding support, and OpenAI-compatible API access

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

$3 per 1M tokens (input)
Kimi K3 is priced per 1 million tokens:

Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens

Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • Kimi K3 looks seriously exciting from the perspective of a developer and AI agent builder. The 1M-token context window is the kind of thing that actually matters when you are working with large repos, long docs, product specs, logs, and messy multi-step agent workflows. I also like that Kimi is positioning it around long-horizon coding and end-to-end knowledge work, not just generic chat. The native visual understanding, tool calling support, and deep reasoning focus make it feel like a model built for agents that need to read, plan, inspect, code, and iterate across a real workflow. The 2.8T-parameter scale is also hard to ignore. If the real-world performance matches the positioning, Kimi K3 could be a very strong option for developers who want frontier-level capability with long context and multimodal inputs in the same stack.

Cons

  • It is still new, so I would want to test it heavily before depending on it for production agents. Big context windows are useful, but they do not automatically guarantee perfect repo understanding, reliable tool use, or consistent long-running execution.

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

Moonshot AI
Founded: 2023
China
kimi.ai

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic
Claude Mythos 5

Claude Mythos 5

Anthropic
Claude Opus 4.8

Claude Opus 4.8

Anthropic
Claude Opus 4.8

Claude Opus 4.8

Anthropic
Claude Opus 5

Claude Opus 5

Anthropic
Claude Sonnet 5

Claude Sonnet 5

Anthropic
Kimi K2.5

Kimi K2.5

Moonshot AI
Claude Opus 4.5

Claude Opus 4.5

Anthropic
Kimi K2

Kimi K2

Moonshot AI

Categories

Categories

Integrations

.NET
Bash
Brokk
C
C++
CSS
Claw Code
Dart
Go
HTML
PHP
Pi Agent
R
Ruby
Scala
Shiori
Swift
TypeScript
Visual Studio Code
YAML

Integrations

.NET
Bash
Brokk
C
C++
CSS
Claw Code
Dart
Go
HTML
PHP
Pi Agent
R
Ruby
Scala
Shiori
Swift
TypeScript
Visual Studio Code
YAML
Claim Claude Opus 5 and update features and information
Claim Claude Opus 5 and update features and information
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