# OpenFlowKit vs Together AI OpenFlowKit records 1,437 monthly visits with -70.3% month-over-month growth and Free pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing. | Metric | [OpenFlowKit](https://openaitools.app/tool/openflowkit) | [Together AI](https://openaitools.app/tool/together-ai) | | :--- | :--- | :--- | | Website URL | https://openflowkit.com | https://www.together.ai | | Categories | AI Diagram Generator, AI Assistant, AI Code Assistant, Open Source AI Models | AI Developer Tools, AI API, AI Models, Open Source AI Models | | Pricing Model | Free | Freemium, Paid | | Monthly Visits | 1,437 | 1,645,930 | | MoM Growth Rate | -70.3% | +64.9% | | Primary Market | Vietnam | United States | | Direct Visits | 614 | 882,212 | | Review Score | 4.6 | 4.7 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## OpenFlowKit OpenFlowKit is an open-source diagramming studio built for engineers who think in systems. It supports three ways of working on one canvas: freehand drawing with shapes, connectors, ink, images and charts; writing the diagram as code in Mermaid, D2 or Structurizr; or letting an AI agent build and edit it live through the Model Context Protocol. Text and canvas stay in sync, so you can start with a snippet and finish with something visual. A standout v2 feature maps a public GitHub repository directly in the browser: paste an owner/repo URL and OpenFlowKit reads the files, produces boxes and connections, and cites each arrow back to the exact line of code it came from. Private repositories can be mapped locally through the CLI. The result is architecture documentation that reflects the code rather than someone's memory of it. OpenFlowKit is also practical for day-to-day diagramming: a toolset of 29 MCP tools for agents, C4 context/container/component views that stay connected to one underlying model, automatic matching of 2,000+ cloud and developer icons by node label, animated SVG/GIF/MP4 export, share links and self-hosting. It is MIT licensed, runs locally by default and needs no account. **Pricing & Plans:** Free and open source under the MIT licence. There is no paid tier on the site; you can start creating without signing up, and the code can be self-hosted. - **Repo-to-map generation:** Paste a public GitHub repository and OpenFlowKit reads its files in the browser to draw modules and connections, with every arrow cited to the source line it came from. - **Agent-native canvas over MCP:** 29 diagram tools for Claude Code, Codex, Cursor, VS Code, Windsurf or any MCP client, so an agent can draw on the diagram you have open, one undo away. - **Diagram as code:** Write or paste Mermaid, D2 or Structurizr; the text and the canvas remain the same diagram, so you can round-trip between syntax and visuals. - **Connected C4 model views:** Move from system context to containers to components in linked views that all stay grounded in a single architecture model. - **Icon matching and motion export:** Label a node 'PostgreSQL' or 'Kubernetes' and the right icon is matched automatically from 2,000+ cloud and developer icons; export animated SVG, GIF, MP4 or WebM for living documentation. **Strengths:** Free, MIT-licensed and local-first with no account required; Unique repo-to-diagram mapping that cites each connection back to code; Works equally well for hand drawing, diagram-as-code and AI-agent workflows; Strong ecosystem coverage with automatic matching of 2,000+ cloud and developer icons **Limitations:** No hosted paid support or managed cloud option is advertised, so teams self-host; Advanced MCP and CLI repo mapping assumes comfort with developer tooling; C4 model depth and multiple views can feel heavy for quick one-off sketches [Profile (Markdown)](https://openaitools.app/tool/openflowkit.md) ## Together AI Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research. Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research. **Pricing & Plans:** Freemium, Paid **Limitations:** Serverless pricing varies widely by model, so cost forecasting takes care; Heavy GPU-cluster and high-throughput workloads still require sales contact; Broad surface area (inference, GPU, fine-tuning, sandboxes, storage) can feel complex for beginners; Some newest models are marked experimental or preview and may change [Profile (Markdown)](https://openaitools.app/tool/together-ai.md) ## Frequently Asked Questions ### How do OpenFlowKit and Together AI compare in monthly traffic? OpenFlowKit has 1,437 monthly visits, while Together AI has 1,645,930. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? OpenFlowKit has a month-over-month growth rate of -70.3%; Together AI has +64.9%. ### How does pricing compare? OpenFlowKit: Free. Free and open source under the MIT licence. There is no paid tier on the site; you can start creating without signing up, and the code can be self-hosted. Together AI: Freemium, Paid. Freemium, Paid ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models. | [.md](https://openaitools.app/tool/openai.md) | | 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety. | [.md](https://openaitools.app/tool/google-ai-studio.md) | | 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 4 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers dramatically faster token generation speeds using custom hardware, though with a more limited model selection. | [.md](https://openaitools.app/tool/groq.md) | | 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) | | 6 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs. | [.md](https://openaitools.app/tool/replicate-ai.md) | | 7 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) | | 8 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Provides exceptionally fast inference speeds and robust fine-tuning tools, competing directly on open-source model deployment performance. | [.md](https://openaitools.app/tool/fireworks-ai.md) | | 9 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | AI diagrams and technical design docs built from your code and systems | [.md](https://openaitools.app/tool/eraser.md) | | 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Offers similar low-cost serverless inference for open-weight models, but with a simpler pay-as-you-go pricing model. | [.md](https://openaitools.app/tool/deep-infra.md) | --- Source: https://openaitools.app/compare/openflowkit-vs-together-ai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)