Kimi K3

Kimi K3

Moonshot AI
Olmo 3

Olmo 3

Ai2
+
+

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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.

About

Olmo 3 is a fully open model family spanning 7 billion and 32 billion parameter variants that delivers not only high-performing base, reasoning, instruction, and reinforcement-learning models, but also exposure of the entire model flow, including raw training data, intermediate checkpoints, training code, long-context support (65,536 token window), and provenance tooling. Starting with the Dolma 3 dataset (≈9 trillion tokens) and its disciplined mix of web text, scientific PDFs, code, and long-form documents, the pre-training, mid-training, and long-context phases shape the base models, which are then post-trained via supervised fine-tuning, direct preference optimisation, and RL with verifiable rewards to yield the Think and Instruct variants. The 32 B Think model is described as the strongest fully open reasoning model to date, competitively close to closed-weight peers in math, code, and complex reasoning.

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, 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

Audience

AI researchers, developers and enterprises needing a tool offering foundation models to inspect, fine-tune or deploy with full provenance and auditability

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

$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

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

  • 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

Moonshot AI
Founded: 2023
China
kimi.ai

Company Information

Ai2
Founded: 2014
United States
allenai.org/blog/olmo3

Alternatives

Alternatives

Qwen3-Max

Qwen3-Max

Alibaba
LongCat-2.0

LongCat-2.0

LongCat
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Kimi K2.5

Kimi K2.5

Moonshot AI
MiniMax M1

MiniMax M1

MiniMax
Kimi K2

Kimi K2

Moonshot AI
DeepSeek-V4

DeepSeek-V4

DeepSeek

Categories

Categories

Integrations

Augment Code
Brokk
Cerebras
Clarifai
HTML
JetBrains Junie
Kimi Code CLI
Lua
Okara
OpenCode Go
PowerShell
Python
R
Rapid Claw
React
Rust
Solidity
Swift
Tabbit Browser
Unity AI Gateway

Integrations

Augment Code
Brokk
Cerebras
Clarifai
HTML
JetBrains Junie
Kimi Code CLI
Lua
Okara
OpenCode Go
PowerShell
Python
R
Rapid Claw
React
Rust
Solidity
Swift
Tabbit Browser
Unity AI Gateway
Claim Kimi K3 and update features and information
Claim Kimi K3 and update features and information
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Claim Olmo 3 and update features and information