Inkling-Small vs. Kimi K3.1 Pro Comparison


Inkling-Small Thinking Machines Lab 5.0 out of 5 stars	Kimi K3.1 Pro Moonshot AI 5.0 out of 5 stars
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Inkling-Small	Kimi K3.1 Pro
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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.	Kimi K3.1 Pro: About Kimi K3.1 Pro is a multimodal large language model developed by Moonshot AI for advanced reasoning, software development, 3D modeling, financial analysis, and autonomous AI agent workflows. The model uses a mixture-of-experts architecture with approximately 2.8 trillion total parameters and 104 billion active parameters, supporting a context window of one million tokens. Its coding capabilities include debugging existing applications, generating complete software projects, developing interactive websites, and creating applications with game engines. Kimi K3.1 Pro can analyze images, interpret spatial relationships, generate CAD scripts, and create three-dimensional assets from text descriptions or visual references. Its reasoning and tool-use capabilities support financial modeling, investment research, document analysis, and multistep business workflows. The model is available through Kimi's web and mobile applications, Kimi Work, Kimi Code, and the Kimi API, with a Highspeed variant.
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	Kimi K3.1 Pro: 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
Inkling-Small: Audience AI researchers and developers seeking an efficient open-weight multimodal model for reasoning, agentic tasks, and lower-cost deployment	Kimi K3.1 Pro: Audience Software developers, AI engineers, researchers, financial analysts, and teams building applications or agentic workflows with AI models.
Inkling-Small: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Kimi K3.1 Pro: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
Inkling-Small: API Offers API Supported	Kimi K3.1 Pro: API Offers API Supported
Inkling-Small: Screenshots and Videos View more images or videos	Kimi K3.1 Pro: Screenshots and Videos View more images or videos
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	Kimi K3.1 Pro: Pricing $2 per 1M tokens API usage is pay-as-you-go: $2 per million input tokens and $10 per million output tokens. Cached input is $0.20 per million tokens; cache writes are $2 per million tokens. Kimi Code also provides tier-based membership access, with quotas and context limits depending on the tier. Free Version Not Supported Free Trial Not Supported
Inkling-Small: Reviews/Ratings Overall 5.0 / 5 features 4.0 / 5 Read all reviews	Kimi K3.1 Pro: Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
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.	Kimi K3.1 Pro: Pros & Cons from Real Users Pros I can give it a large coding job, a research project, or a multi-step agent workflow and it does a much better job staying organized all the way through. Coding is probably the biggest jump. Moonshot reports a 65.7% score on Terminal-Bench 4.0, ahead of GPT-6 Astra’s reported 58.2% and just behind Claude Opus 5.5 at 66.4%. It feels especially good for terminal work, repo-level changes, and tasks where the agent has to keep using tools for a while. The 1M-token context window is also genuinely useful. I can keep a huge amount of source code, documentation, financial material, screenshots, and prior work in context without constantly trimming things down. Cons The main downside is that the full weights are not available yet. Moonshot says they will be released soon, so the open-weight story is promising, but I would wait for that release before judging local deployment and customization.
Inkling-Small: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Kimi K3.1 Pro: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Inkling-Small: Company Information Thinking Machines Lab Founded: 2025 United States thinkingmachines.ai/news/inkling-small/	Kimi K3.1 Pro: Company Information Moonshot AI Founded: 2023 China www.kimi.ai/
Inkling-Small: Alternatives Muse Spark Open Meta 5.0 out of 5 stars	Kimi K3.1 Pro: Alternatives Gemini 4 Hydrogen Google 5.0 out of 5 stars
Inkling-Small: GPT-5.6 Luna OpenAI 5.0 out of 5 stars	Kimi K3.1 Pro: Claude Fable 5.2 Anthropic 5.0 out of 5 stars
Inkling-Small: Inkling Thinking Machines Lab	Kimi K3.1 Pro: Gemini 4 Carbon Google
Inkling-Small: Inkling 2 Small Thinking Machines Lab	Kimi K3.1 Pro: Kimi K2 Moonshot AI
Inkling-Small: SWE-2 Flash Cognition 5.0 out of 5 stars View All	Kimi K3.1 Pro: Kimi K3 Moonshot AI 5.0 out of 5 stars View All
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	Kimi K3.1 Pro: Categories 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: Integrations Model Context Protocol (MCP) Supported .NET Not Supported APIFree Not Supported Alibaba AI Coding Plan Not Supported C++ Not Supported Claude Code Not Supported Cloudflare Not Supported Cosmos Not Supported Factory Droid Not Supported Go Not Supported Grengin Not Supported Java Not Supported Nebius Token Factory Not Supported OpenTag Not Supported PHP Not Supported Rapid Claw Not Supported React Not Supported Tailwind CSS Not Supported TypeScript Not Supported Unity AI Gateway Not Supported Show More Integrations View All 2 Integrations	Kimi K3.1 Pro: Integrations Model Context Protocol (MCP) Supported .NET Supported APIFree Supported Alibaba AI Coding Plan Supported C++ Supported Claude Code Supported Cloudflare Supported Cosmos Supported Factory Droid Supported Go Supported Grengin Supported Java Supported Nebius Token Factory Supported OpenTag Supported PHP Supported Rapid Claw Supported React Supported Tailwind CSS Supported TypeScript Supported Unity AI Gateway Supported Show More Integrations View All 85 Integrations
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