Inkling-Small

Inkling-Small

Thinking Machines Lab
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About

Collaborate with your CPA/bookkeeper through chats and attachments. Secure vault to upload, permanently store and archive letters received by your US entity. Inkle Tax interface provides you with the following set of tools to help you with your tax and compliance-related needs. Dates, identifiers, states, addresses, officers, Board tracking - all in one place. Easy calculation summaries, deadline tracking, filed documents history. Track your transactions & volume of expenses, switching accounting methods from cash to Accrual, and see Inkle's clear charges. All communication is secured by using SSL AES 256-bit encryption. This is the highest level of encryption commercially available. Your passwords are encrypted and inaccessible even to us. Inkle team members use SSO where possible for all software or encrypted password vaults with randomized passwords.

About

Inkling-Small is an efficient model that offers performance comparable to Inkling at a quarter of its size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters, trained on NVIDIA GB300 NVL72 systems. It supports native reasoning across text, images, and audio, variable thinking effort, and context windows of up to one million tokens. Users adjust reasoning effort from minimal to extra high to balance performance and compute. Improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. It performs well in coding and tool-use harnesses, exceeds 80% on SWE-bench Verified, and combines strong reasoning with efficient output. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens.

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

Organizations in need of a powerful Accounting platform

Audience

Developers, AI agent builders, software engineering teams, research teams, enterprise AI teams, multimodal application developers, coding assistant builders, tool-use workflow teams, and organizations that need efficient reasoning, long-context processing, text-image-audio understanding, adjustable thinking effort, coding performance, and scalable Mixture-of-Experts inference

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

$30 per month
Free Version
Free Trial

Pricing

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 4.0 / 5
support 4.0 / 5

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • Best customer success team. They know the space in and out. They are one of the best in the cross-border space and very competitive in terms on pricing.

Cons

  • Nothing that I could think about. They were figuring out the pricing but most of it is sorted now.

Pros & Cons from Real Users

Pros

  • Inkling-Small is really interesting from a developer’s point of view because it hits a sweet spot between serious model capability and practical deployability. A 276B-parameter model with only 12B active parameters per token is exactly the kind of architecture that makes sense if you care about cost, speed, and scaling real AI workflows. I also like that it is open weights under Apache 2.0. That makes it way more appealing for developers who want to fine-tune, inspect, customize, or build on top of the model without being completely locked into a closed API. The multimodal support is a big plus too. Being able to work with text, images, and audio inputs gives Inkling-Small a lot of room for developer tools, coding agents, support bots, document workflows, and internal automation.

Cons

  • The main downside is that “small” here is still not tiny. Even with only 12B active parameters, this is still a large open model that will require real infrastructure if you want to host it yourself. I would also want to test it deeply before making it the backbone of a production coding agent. The model card and early coverage look promising, but real developer workflows expose problems that benchmarks do not always catch: messy repos, flaky tests, weird dependencies, tool failures, and long multi-step tasks.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Inkle
Founded: 2022
United States
www.inkle.io

Company Information

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/news/inkling-small/

Alternatives

Alternatives

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Inkling-Small

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Inkling

Inkling

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Cryptainer Pro

Cryptainer Pro

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Inkling

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Thinking Machines Lab
Multi One Password

Multi One Password

Windows Portable Apps

Categories

Categories

Integrations

Model Context Protocol (MCP)
Tinker

Integrations

Model Context Protocol (MCP)
Tinker
Claim Inkle and update features and information
Claim Inkle and update features and information
Claim Inkling-Small and update features and information
Claim Inkling-Small and update features and information