Average Ratings 1 Rating

Total
ease
features

Average Ratings 1 Rating

Total
features

Description

Gemini 3.8 Flash stands out as Google's most advanced model for Flash, offering substantial enhancements compared to version 3.7 in areas such as software engineering, agent-based tasks, and intricate multi-step reasoning within specialized fields. Designed for extended coding projects and autonomous agents, it adeptly addresses complex engineering challenges in a comprehensive manner, ensuring the reliability essential for critical enterprise autonomy in specialized knowledge areas. This model excels particularly in quantitative and professional disciplines that demand sophisticated analysis and reporting, as well as in multi-step reasoning tasks spanning STEM, humanities, and professional domains. The improvements it showcases arise from a fundamental design decision: Gemini 3.8 Flash intensifies its focus on challenging tasks by conducting additional reasoning steps and utilizing tools iteratively, thus optimizing its performance. When operating at higher effort levels, it may consume more tokens to achieve superior outcomes, while developers also have the option to adjust to lower effort levels for varied results. Overall, this flexibility allows for tailored use based on project needs and desired outcomes.

Description

Inkling-Small is an efficient Mixture-of-Experts transformer model built to provide performance comparable to Inkling while using a much smaller active parameter footprint. The model has 276 billion total parameters and 12 billion active parameters, making it designed for strong capability with more efficient compute usage. Inkling-Small was trained on NVIDIA GB300 NVL72 systems and supports native reasoning across text, images, and audio. It offers context windows of up to one million tokens, making it suitable for long documents, large codebases, multimodal context, and extended agent workflows. Users can set reasoning effort from minimal to extra high to control the balance between speed, cost, compute, and task complexity. The model benefits from improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning. These improvements helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens. By combining efficient MoE scaling, long-context reasoning, multimodal input, coding strength, and adjustable thinking effort, Inkling-Small is built for practical high-performance AI deployment.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
C# Yes 
C++ Yes 
Devin Desktop Yes 
Gemini Yes 
Gemini 3.5 Flash Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini 3.5 Flash-Lite Yes 
Gemini Computer Use Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Google AI Plus Yes 
Java Yes 
PHP Yes 
PowerShell Yes 
R Yes 
Replit Yes 
Scala Yes 
Swift Yes 
Tinker No 
Wikis.ai Yes 

Integrations

.NET No 
C# No 
C++ No 
Devin Desktop No 
Gemini No 
Gemini 3.5 Flash No 
Gemini 3.5 Flash Cyber No 
Gemini 3.5 Flash-Lite No 
Gemini Computer Use No 
Gemini Enterprise Agent Platform Notebooks No 
Google AI Plus No 
Java No 
PHP No 
PowerShell No 
R No 
Replit No 
Scala No 
Swift No 
Tinker Yes 
Wikis.ai No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Country

United States

Website

google.com

Vendor Details

Company Name

Thinking Machines Lab

Founded

2025

Country

United States

Website

thinkingmachines.ai/news/inkling-small/

Alternatives

Alternatives

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