Average Ratings 1 Rating

Total
features

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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.

Description

Trinity Large Thinking is an innovative open-source reasoning model crafted by Arcee AI, tailored for intricate, multi-step problem solving and workflows involving autonomous agents that necessitate extended planning and the use of various tools. This model features a sparse Mixture-of-Experts architecture, boasting a remarkable total of around 400 billion parameters, with approximately 13 billion being active for each token, which enhances its efficiency while ensuring robust reasoning capabilities across a range of tasks, including mathematical calculations, code generation, and comprehensive analysis. A notable advancement in this model is its ability to perform extended chain-of-thought reasoning, which allows it to produce intermediate "thinking traces" prior to delivering final solutions, thereby boosting accuracy and reliability in complex situations. Furthermore, Trinity Large Thinking accommodates a substantial context window of up to 262K tokens, allowing it to effectively process lengthy documents, retain context during prolonged interactions, and function seamlessly in continuous agent loops. This model's design reflects a commitment to pushing the boundaries of what automated reasoning systems can achieve.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Fable 5 No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Haiku 5.5 No 
Claude Mythos 5 No 
Claude Mythos 5.1 No 
Claude Opus 4.6 No 
Claude Opus 4.7 No 
Claude Opus 4.8 No 
Claude Opus 5 No 
Claude Opus 5.5 No 
Claude Sonnet 5.5 No 
Model Context Protocol (MCP) Yes 
OpenClaw No 
OpenRouter No 
Tinker Yes 
Vercel AI Gateway No 
Visual Studio Code No 

Integrations

Claude Fable 5 Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Haiku 5.5 Yes 
Claude Mythos 5 Yes 
Claude Mythos 5.1 Yes 
Claude Opus 4.6 Yes 
Claude Opus 4.7 Yes 
Claude Opus 4.8 Yes 
Claude Opus 5 Yes 
Claude Opus 5.5 Yes 
Claude Sonnet 5.5 Yes 
Model Context Protocol (MCP) No 
OpenClaw Yes 
OpenRouter Yes 
Tinker No 
Vercel AI Gateway Yes 
Visual Studio Code Yes 

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 

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

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

Thinking Machines Lab

Founded

2025

Country

United States

Website

thinkingmachines.ai/news/inkling-small/

Vendor Details

Company Name

Arcee AI

Founded

2023

Country

United States

Website

www.arcee.ai/blog/trinity-large-thinking

Product Features

Alternatives

Alternatives

Kimi K2 Thinking Reviews

Kimi K2 Thinking

Moonshot AI
Beam Reviews

Beam

Reflection
GLM-5.1 Reviews

GLM-5.1

Z.ai
Inkling Reviews

Inkling

Thinking Machines Lab
LongCat-2.0 Reviews

LongCat-2.0

LongCat