DeepSeek-V4.1-Flash-1017 vs. Inkling 2 Small Comparison


DeepSeek-V4.1-Flash-1017 DeepSeek 5.0 out of 5 stars	Inkling 2 Small Thinking Machines Lab	+	+
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About DeepSeek-V4.1-Flash-1017 is an open-weight multimodal artificial intelligence model developed by DeepSeek for advanced reasoning, software engineering, visual understanding, and autonomous AI agent workflows. Released on October 17, 2026, it builds on DeepSeek-V4.1-Flash with improvements in coding performance, agentic task execution, and reasoning efficiency. The model supports text and image inputs, tool calling, configurable reasoning effort, and multistep problem-solving. Its one-million-token context window enables developers to process lengthy documents, extensive codebases, and complex sequences of instructions. DeepSeek-V4.1-Flash-1017 also supports end-to-end software development, including application generation, debugging, automated testing, and interactive project creation. The model is available through the DeepSeek API and downloadable weights under the MIT License, supporting both hosted and self-managed deployment.	About Inkling 2 Small is a multimodal AI model developed by Thinking Machines Lab for advanced reasoning, autonomous software engineering, visual understanding, and AI agent development. The model uses a mixture-of-experts architecture with 594 billion total parameters and 17 billion active parameters to balance intelligence and computational efficiency. It supports text and image inputs, a context window of up to one million tokens, and configurable reasoning effort for tasks requiring different levels of analysis. Its agentic capabilities enable autonomous code generation, debugging, website development, scientific research, and complex multistep workflows involving external tools. Inkling 2 Small also supports fine-tuning and reinforcement learning through Thinking Machines Lab's Tinker platform, allowing developers to customize the model for specialized applications.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises 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, software engineers, machine learning researchers, data scientists, enterprise development teams, and organizations seeking open-weight multimodal models for autonomous agents, software development, long-context reasoning, visual analysis, and customizable AI applications	Audience AI developers, machine learning engineers, software developers, autonomous agent researchers, data scientists, AI research laboratories, DevOps professionals, computational scientists, enterprise AI teams, and organizations seeking multimodal language models, long-context reasoning, AI coding agents, reinforcement learning, model fine-tuning, visual understanding, and autonomous research capabilities
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 Free Free Version Supported Free Trial Not Supported	Pricing $0.30 per million input tokens $0.30 per million input tokens, $0.03 per million cached input tokens, and $1.00 per million output tokens Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews	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 What I notice most is how much better it is at actually finishing coding and agent tasks. It feels less meandering than the original V4.1 Flash and gets through multi-step work with fewer wasted tokens. The benchmark jump is pretty serious too. DeepSeek reports 77.0 on DeepSWE v1.1, 42.3 on Terminal-Bench 4.0, and 60.5 on Automation-Bench, all meaningfully higher than the previous V4.1 Flash release. I also like the project-building improvements. DeepSeek specifically trained this version with reinforcement learning and self-feedback for end-to-end development, including full web projects, games, and 3D work. Cons The main downside is infrastructure if you want to run the open weights yourself. The full model is huge, so most people are still going to be better off using the hosted API.
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 DeepSeek Founded: 2023 China deepseek.com	Company Information Thinking Machines Lab Founded: 2025 United States thinkingmachines.ai/
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Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported	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

Integrations Buda Supported Cheaper Inference Supported Cline Supported ClinePass Supported DeepSeek Supported DeepSeek Harness Supported DeepSeek-V4 Supported Model Context Protocol (MCP) Not Supported Novita AI Supported Offloop Supported OpenClaw Supported OpenTag Supported Oxlo.ai Supported Reasonix Supported SnapVee Studio Supported Tinker Not Supported Together AI Supported Vercel AI Gateway Supported ZooClaw Supported Show More Integrations View All 17 Integrations	Integrations Buda Not Supported Cheaper Inference Not Supported Cline Not Supported ClinePass Not Supported DeepSeek Not Supported DeepSeek Harness Not Supported DeepSeek-V4 Not Supported Model Context Protocol (MCP) Supported Novita AI Not Supported Offloop Not Supported OpenClaw Not Supported OpenTag Not Supported Oxlo.ai Not Supported Reasonix Not Supported SnapVee Studio Not Supported Tinker Supported Together AI Not Supported Vercel AI Gateway Not Supported ZooClaw Not Supported Show More Integrations View All 2 Integrations
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