Inkling-SmallThinking Machines Lab
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Mercury VoiceInception
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Related Products
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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.
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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.
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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
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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
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Audience
AI researchers and developers seeking an efficient open-weight multimodal model for reasoning, agentic tasks, and lower-cost deployment
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Audience
Developers and AI teams seeking to build fast, high-performance applications, agents, voice systems, and reasoning workflows with diffusion-based language models
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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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
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Pricing
$0.04 per 1M tokens
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationThinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/news/inkling-small/
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Company InformationInception
United States
www.inceptionlabs.ai/models
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Alternatives |
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Categories |
Categories |
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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
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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
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