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

Ratings and Reviews 1 Rating

Total
features

Alternatives to Consider

  • Pylon Reviews & Ratings
    33 Ratings
    Company Website
  • AdRem NetCrunch Reviews & Ratings
    158 Ratings
    Company Website
  • NeuBird Reviews & Ratings
    2 Ratings
    Company Website
  • Orca Security Reviews & Ratings
    594 Ratings
    Company Website
  • CrankWheel Reviews & Ratings
    220 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    714 Ratings
    Company Website
  • JDisc Discovery Reviews & Ratings
    27 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    93 Ratings
    Company Website

What is Solar Pro 2?

Upstage has introduced Solar Pro 2, a state-of-the-art large language model engineered for frontier-scale applications, adept at handling complex tasks and workflows across multiple domains such as finance, healthcare, and legal fields. This model features a streamlined architecture with 31 billion parameters, delivering outstanding multilingual support, particularly excelling in Korean, where it outperforms even larger models on significant benchmarks like Ko-MMLU, Hae-Rae, and Ko-IFEval, while also maintaining solid performance in English and Japanese. Beyond its impressive language understanding and generation skills, Solar Pro 2 integrates an advanced Reasoning Mode that greatly improves the precision of multi-step tasks across various challenges, ranging from general reasoning tests (MMLU, MMLU-Pro, HumanEval) to complex mathematical problems (Math500, AIME) and software engineering assessments (SWE-Bench Agentless), achieving problem-solving efficiencies that rival or exceed those of models with twice the number of parameters. Additionally, its superior tool-use capabilities enable the model to interact effectively with external APIs and datasets, enhancing its relevance in practical applications. This groundbreaking architecture not only showcases remarkable adaptability but also establishes Solar Pro 2 as a significant contender in the rapidly advancing field of AI technologies, paving the way for future innovations. As the demand for advanced AI solutions continues to grow, Solar Pro 2 is poised to meet the challenges of various industries head-on.

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.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Tinker
Upstage AI

Integrations Supported

Model Context Protocol (MCP)
Tinker
Upstage AI

API Availability

Has API

API Availability

Has API

Pricing Information

$0.1 per 1M tokens
Free Version
Free Trial Offered?

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?

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

Upstage AI

Date Founded

2020

Company Location

United States

Company Website

www.upstage.ai/blog/en/solar-pro-2-launch

Company Facts

Organization Name

Thinking Machines Lab

Date Founded

2025

Company Location

United States

Company Website

thinkingmachines.ai/news/inkling-small/

Categories and Features

Popular Alternatives

Solar Mini Reviews & Ratings

Solar Mini

Upstage AI

Popular Alternatives

Claude Opus 3 Reviews & Ratings

Claude Opus 3

Anthropic
Mathstral Reviews & Ratings

Mathstral

Mistral AI
Inkling Reviews & Ratings

Inkling

Thinking Machines Lab