DeepSeek R1 vs. Inkling-Small Comparison


DeepSeek R1 DeepSeek 5.0 out of 5 stars	Inkling-Small Thinking Machines Lab 5.0 out of 5 stars
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DeepSeek R1	Inkling-Small
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DeepSeek R1: About DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.	Inkling-Small: 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.
DeepSeek R1: Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Supported iPad Supported Android Supported Chromebook Supported	Inkling-Small: 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
DeepSeek R1: Audience Researchers, developers, and organizations seeking advanced, open-source reasoning models for complex tasks like mathematics, programming, and AI-driven problem-solving	Inkling-Small: Audience AI researchers and developers seeking an efficient open-weight multimodal model for reasoning, agentic tasks, and lower-cost deployment
DeepSeek R1: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Inkling-Small: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
DeepSeek R1: API Offers API Supported	Inkling-Small: API Offers API Supported
DeepSeek R1: Screenshots and Videos View more images or videos	Inkling-Small: Screenshots and Videos View more images or videos
DeepSeek R1: Pricing Free Open source Free Version Supported Free Trial Not Supported	Inkling-Small: 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
DeepSeek R1: Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Inkling-Small: Reviews/Ratings Overall 5.0 / 5 features 4.0 / 5 Read all reviews
DeepSeek R1: Pros & Cons from Real Users Pros DeepSeek-R1 is a remarkable AI model that has significantly enhanced my data analysis tasks. Its open-source nature allows for extensive customization, making it adaptable to various project needs. The model's performance is on par with leading AI models, yet it operates at a fraction of the cost, which is a substantial advantage. Additionally, DeepSeek-R1's integration capabilities with web, app, and API platforms provide flexibility in deployment across different environments. Cons Haven't found any cons yet. This model is so capable.	Inkling-Small: 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.
DeepSeek R1: Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Inkling-Small: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
DeepSeek R1: Company Information DeepSeek Founded: 2023 China www.deepseek.com	Inkling-Small: Company Information Thinking Machines Lab Founded: 2025 United States thinkingmachines.ai/news/inkling-small/
DeepSeek R1: Alternatives Claude Sonnet 3.5 Anthropic 5.0 out of 5 stars	Inkling-Small: Alternatives Muse Spark Open Meta 5.0 out of 5 stars
DeepSeek R1: Claude Sonnet 3.7 Anthropic 5.0 out of 5 stars	Inkling-Small: GPT-5.6 Luna OpenAI 5.0 out of 5 stars
DeepSeek R1: Claude Sonnet 4 Anthropic 5.0 out of 5 stars	Inkling-Small: Inkling Thinking Machines Lab
DeepSeek R1: Phi-4-reasoning-plus Microsoft	Inkling-Small: Inkling 2 Small Thinking Machines Lab
DeepSeek R1: GLM-5 Z.ai View All	Inkling-Small: SWE-2 Flash Cognition 5.0 out of 5 stars View All
DeepSeek R1: Categories Agentic AI Supported AI Agents Supported AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported	Inkling-Small: Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Vision Models Supported Open-Weight AI Models Supported Small Language Models Supported

DeepSeek R1: Integrations 01.AI Supported Aider Supported Chat Stream Supported Decompute Blackbird Supported Eclipse PHP Supported Elixir Supported F# Supported GitHub Supported LangChain Supported Model Context Protocol (MCP) Not Supported Nily AI Supported NinjaTools.ai Supported Python Supported SSSModel Supported Scout Supported Sesterce Supported Sonar Supported Yi-Large Supported iMini Supported kluster.ai Supported Show More Integrations View All 88 Integrations	Inkling-Small: Integrations 01.AI Not Supported Aider Not Supported Chat Stream Not Supported Decompute Blackbird Not Supported Eclipse PHP Not Supported Elixir Not Supported F# Not Supported GitHub Not Supported LangChain Not Supported Model Context Protocol (MCP) Supported Nily AI Not Supported NinjaTools.ai Not Supported Python Not Supported SSSModel Not Supported Scout Not Supported Sesterce Not Supported Sonar Not Supported Yi-Large Not Supported iMini Not Supported kluster.ai Not Supported Show More Integrations View All 2 Integrations
DeepSeek R1: Claim DeepSeek R1 and update features and information Claim DeepSeek R1 and update features and information	Inkling-Small: Claim Inkling-Small and update features and information Claim Inkling-Small and update features and information