Inkling-Small

Inkling-Small

Thinking Machines Lab
Mercury Voice

Mercury Voice

Inception
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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.

About

Mercury is a family of diffusion large language models built to deliver frontier LLM quality at significantly higher speeds, running at 1,000+ tokens per second on commercial NVIDIA GPUs for instant, in-the-flow AI applications. The models are OpenAI-compatible and designed as drop-in replacements for traditional LLMs, making them easier to integrate into existing AI stacks. Mercury 2.5 is the family’s most intelligent reasoning dLLM, built for complex applications where both quality and speed matter. It supports a 260K context window, reasoning, tool use, and structured output, with use cases including rapid coding iteration, agents and subagents, customer support, and enterprise search. Mercury Voice is optimized for voice agents and delivers time-to-first-token under 170 ms while supporting reasoning, tool use, structured output, and a 128K context window. It is suited to applications such as customer support, patient care, education, and gaming.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI researchers and developers seeking an efficient open-weight multimodal model for reasoning, agentic tasks, and lower-cost deployment

Audience

Developers and AI teams seeking to build fast, high-performance applications, agents, voice systems, and reasoning workflows with diffusion-based language models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.04 per 1M tokens
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

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

Company Information

Inception
United States
www.inceptionlabs.ai/models

Alternatives

Alternatives

Mercury Edit 2

Mercury Edit 2

Inception
Mercury 2.5

Mercury 2.5

Inception
Mercury 2

Mercury 2

Inception
Inkling

Inkling

Thinking Machines Lab
Mercury Coder

Mercury Coder

Inception Labs
Kimi K3

Kimi K3

Moonshot AI

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported

Categories

AI Models Supported

Integrations

Claude Haiku 4.5 Not Supported
GPT-5.6 Luna Not Supported
Gemini 3.5 Flash-Lite Not Supported
Model Context Protocol (MCP) Supported
OpenAI Not Supported
Tinker Supported

Integrations

Claude Haiku 4.5 Supported
GPT-5.6 Luna Supported
Gemini 3.5 Flash-Lite Supported
Model Context Protocol (MCP) Not Supported
OpenAI Supported
Tinker Not Supported
Claim Inkling-Small and update features and information
Claim Inkling-Small and update features and information
Claim Mercury Voice and update features and information
Claim Mercury Voice and update features and information