Holo4 vs. Inkling-Small Comparison


Holo4 H Company	Inkling-Small Thinking Machines Lab	+	+
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About Holo4 is a family of generalist agentic AI models from H Company designed to operate software across graphical interfaces, code environments, MCP servers, APIs, desktop applications, the web, and mobile devices. The family includes a 27B dense model and a 35B-A3B Mixture-of-Experts model with 3B active parameters, both supporting a 256K context window. Unlike agents optimized around a single interface, Holo4 can click and type on screens, write and execute code, and call MCP or API tools depending on what a task requires. The models were trained with supervised fine-tuning and reinforcement learning on agentic workflows spanning desktop, web, MCP/API, mobile, coding, multimodal reasoning, and GUI grounding. Holo4 27B achieved 85.2% on OSWorld at a reported cost of $0.08 per task, while Holo4 35B-A3B scored 80.8% at $0.05 per task in H Company's evaluation.	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.
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 developers, agent platform builders, automation teams, enterprises, and researchers that need generalist computer-use agents capable of completing multi-step workflows across GUIs, desktop and mobile applications, websites, code environments, MCP servers, and business APIs	Audience AI researchers and developers seeking an efficient open-weight multimodal model for reasoning, agentic tasks, and lower-cost deployment
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 View more images or videos	Screenshots and Videos View more images or videos
Pricing $0.40 per 1M tokens (input) Input: $0.40 per 1 million tokens Output: $3 per 1 million tokens Free Version Not Supported Free Trial Not Supported	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
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	Reviews/Ratings Overall 5.0 / 5 features 4.0 / 5 Read all reviews
	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 Not Supported In Person Not Supported
Company Information H Company Founded: 2023 France openai.com	Company Information Thinking Machines Lab Founded: 2025 United States thinkingmachines.ai/news/inkling-small/
Alternatives No Alternatives	Alternatives Gemini 3.6 Flash Google
	Gemini 3.7 Flash Google
	GPT-5.6 Luna OpenAI
	Inkling Thinking Machines Lab
View All	Phi-4-reasoning-plus Microsoft View All
Categories AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Small Language Models Supported

Integrations Model Context Protocol (MCP) Supported Anuma Supported C Supported CSS Supported ChatGPT Atlas Supported Devin Supported Flowise Supported Ghost Supported JavaScript Supported JetBrains AI Assistant Supported Microsoft 365 Copilot Supported NextDocs Supported OpenAI Supported Perplexity Computer Supported Rust Supported Springhub Supported Tinker Not Supported TypeScript Supported Xcode Supported YAML Supported Show More Integrations View All 129 Integrations	Integrations Model Context Protocol (MCP) Supported Anuma Not Supported C Not Supported CSS Not Supported ChatGPT Atlas Not Supported Devin Not Supported Flowise Not Supported Ghost Not Supported JavaScript Not Supported JetBrains AI Assistant Not Supported Microsoft 365 Copilot Not Supported NextDocs Not Supported OpenAI Not Supported Perplexity Computer Not Supported Rust Not Supported Springhub Not Supported Tinker Supported TypeScript Not Supported Xcode Not Supported YAML Not Supported Show More Integrations View All 2 Integrations
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