--- title: "ChatMock vs modelz-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/raybytes-chatmock-vs-tensorchord-modelz-llm" tools: ["raybytes-chatmock", "tensorchord-modelz-llm"] --- # ChatMock vs modelz-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing; pick modelz-llm if modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities. [ChatMock](https://github.com/RayBytes/ChatMock) reports 1.5k GitHub stars, 212 forks, and 14 open issues, last pushed Sep 1, 2026. [modelz-llm](https://modelz.ai) has 274 stars, 27 forks, and 12 open issues, last pushed Oct 11, 2023. Figures are from public GitHub metadata via [ChatMock's repository](https://github.com/RayBytes/ChatMock) and [modelz-llm's repository](https://github.com/tensorchord/modelz-llm). | | [ChatMock](/tools/raybytes-chatmock.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Tagline | OpenAI & Ollama compatible API powered by Codex | OpenAI compatible API for LLMs and embeddings | | Stars | 1,545 | 274 | | Forks | 212 | 27 | | Open issues | 14 | 12 | | Language | Python | Python | | Adopt for | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | Modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatMock](/tools/raybytes-chatmock.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 19d | 1073d | | Open issues (now) | 14 | 12 | | Stars delta | +17 (30d) | -2 (30d) | | Open issues delta | +7 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/raybytes-chatmock/trust.md) | [trust report](/tools/tensorchord-modelz-llm/trust.md) | ## Decision facts: ChatMock - **Pricing:** freemium - Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. ## Decision facts: modelz-llm - **Pricing:** freemium - The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs. - **Requirements:** Min 4 GB RAM; Installation can be done via pip or from source for GPU support. - **Adopt for:** Modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities. - **License detail:** Apache-2.0 ## Choose when ### Choose ChatMock if… - License: ChatMock is MIT, modelz-llm is Apache-2.0. - Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to ChatMock: ai, chatgpt, codex, gpt-5. - ChatMock ships Docker support for self-hosted deployment. - Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ### Choose modelz-llm if… - License: modelz-llm is Apache-2.0, ChatMock is MIT. - Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs.. - Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support.. - Tags unique to modelz-llm: llm, nlp, openai-api, transformer. - When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM. ## When NOT to use ChatMock - If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. - Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ## When NOT to use modelz-llm - If your project specifically requires a different API format that is not compatible with OpenAI's API. - When the specific models supported by Modelz-llm do not meet your project's needs. - If you are working in a non-Python environment and cannot use Python packages. ## Common questions ### What is the difference between ChatMock and modelz-llm? ChatMock: OpenAI & Ollama compatible API powered by Codex. modelz-llm: OpenAI compatible API for LLMs and embeddings. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatMock over modelz-llm? Choose ChatMock over modelz-llm when License: ChatMock is MIT, modelz-llm is Apache-2.0; Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to ChatMock: ai, chatgpt, codex, gpt-5; ChatMock ships Docker support for self-hosted deployment; Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ### When should I choose modelz-llm over ChatMock? Choose modelz-llm over ChatMock when License: modelz-llm is Apache-2.0, ChatMock is MIT; Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support.; Tags unique to modelz-llm: llm, nlp, openai-api, transformer; When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM. ### When should I avoid ChatMock? If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ### When should I avoid modelz-llm? If your project specifically requires a different API format that is not compatible with OpenAI's API. When the specific models supported by Modelz-llm do not meet your project's needs. If you are working in a non-Python environment and cannot use Python packages. ### Is ChatMock or modelz-llm more popular on GitHub? ChatMock has more GitHub stars (1,545 vs 274). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatMock and modelz-llm open source? Yes - both are open-source projects on GitHub (ChatMock: MIT, modelz-llm: Apache-2.0). ### Where can I find alternatives to ChatMock or modelz-llm? GraphCanon lists graph-backed alternatives at [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) and [modelz-llm alternatives](/tools/tensorchord-modelz-llm/alternatives) ([ChatMock markdown twin](/tools/raybytes-chatmock/alternatives.md), [modelz-llm markdown twin](/tools/tensorchord-modelz-llm/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/raybytes-chatmock-vs-tensorchord-modelz-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatMock or modelz-llm? ChatMock: Active. modelz-llm: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ChatMock and modelz-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatMock trust report](/tools/raybytes-chatmock/trust); [modelz-llm trust report](/tools/tensorchord-modelz-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=raybytes-chatmock`](/api/graphcanon/graph?tool=raybytes-chatmock) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_