Ratings and Reviews 1 Rating

Total
features

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    985 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • Dialpad Support Reviews & Ratings
    1,588 Ratings
    Company Website
  • Buildium Reviews & Ratings
    2,544 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • RetailEdge Reviews & Ratings
    201 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Docmosis Reviews & Ratings
    51 Ratings
    Company Website

What is Inkling-Small?

Inkling-Small is an efficient multimodal AI model built to deliver strong reasoning and coding performance at a fraction of Inkling’s size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters. The model was trained on NVIDIA GB300 NVL72 systems and is designed to combine high capability with more efficient inference. Inkling-Small supports native reasoning across text, images, and audio, allowing it to work across multimodal tasks without relying on separate encoders. Its context window supports up to one million tokens, making it useful for long-form reasoning, large-scale code understanding, document analysis, and agentic workflows. Users can adjust reasoning effort from minimal to extra high depending on whether they need faster responses or deeper computation. The model’s training process includes improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning. These techniques helped Inkling-Small outperform its larger counterpart on reasoning and coding benchmarks. The model performs well in coding and tool-use harnesses and exceeds 80% on SWE-bench Verified. Its encoder-free architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens. By combining efficient MoE design, one-million-token context, adjustable reasoning effort, multimodal processing, coding strength, and tool-use performance, Inkling-Small is designed for developers and teams that need capable AI with lower active compute requirements.

What is Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is distinguished as the fastest model in Google's Gemini 3.5 series, designed specifically for low-latency tasks and enhancing developer workflows that require high throughput, such as agentic search, document processing, coding, and comprehensive data analysis. It features an impressive output rate of 350 tokens per second and represents a substantial upgrade from previous Flash-Lite versions in both quality and agentic functionalities. Developers can tailor the model's cognitive level based on the task requirements: minimal or low thinking is ideal for quick processing of large datasets, while higher thinking levels are suited for more complex, multi-step workflows that involve subagents. Additionally, the model comes with integrated computational abilities, allowing it to function seamlessly in various digital environments across supported platforms. Gemini 3.5 Flash-Lite also shines in coding tasks, managing lengthy contexts, and carrying out real-world applications, consistently surpassing the performance of its predecessor, Gemini 3.1 Flash-Lite, in crucial evaluations and even outdoing Gemini 3 Flash in numerous benchmarks related to agentic capabilities and software development. This remarkable performance demonstrates its potential to revolutionize the way developers tackle intricate workflows and handle data-heavy tasks, making it a game-changer in the field. As developers continue to explore its capabilities, they are likely to uncover new applications that further enhance their productivity.

Media

Media

Integrations Supported

.NET
Android Studio
C
C++
Dart
Gemini 3.6 Flash
Gemini Enterprise
Gemini Managed Agents
Google
HTML
JavaScript
Lua
OfoxAI
OpenClaw
SQL
Scala
Swift
TypeScript
Vercel AI Gateway
XML

Integrations Supported

.NET
Android Studio
C
C++
Dart
Gemini 3.6 Flash
Gemini Enterprise
Gemini Managed Agents
Google
HTML
JavaScript
Lua
OfoxAI
OpenClaw
SQL
Scala
Swift
TypeScript
Vercel AI Gateway
XML

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Thinking Machines Lab

Date Founded

2025

Company Location

United States

Company Website

thinkingmachines.ai/news/inkling-small/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Popular Alternatives

Popular Alternatives

Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic
Claude Mythos 5 Reviews & Ratings

Claude Mythos 5

Anthropic
Claude Sonnet 5 Reviews & Ratings

Claude Sonnet 5

Anthropic
Inkling Reviews & Ratings

Inkling

Thinking Machines Lab
Gemini 4 Reviews & Ratings

Gemini 4

Google