vava-nessa/free-coding-models

• highreadme#1

  Reposition README H1 and opening paragraph to clarify tool type and purpose

  原因：

  当前

  <h1 align="center">free-coding-models</h1>
  
  <p align="center">
    <strong>Find the fastest free coding model in seconds</strong><br>
    Track ~170 models across ~15 trusted free or free-limited AI providers in real time<br><br>
    <strong>Install Free API endpoints to your favorite AI coding tools:</strong><br>
    OpenCode CLI / Desktop / WebUI, OpenClaw, Crush, Goose, Aider, Kilo CLI, Qwen Code, OpenHands, Amp, Hermes, Continue, Cline, Xcode, Pi, Rovo, Gemini and more...<br><br>
    <strong>Use Kimi K2, DeepSeek V3, GPT-OSS, Qwen3, MiniMax M2, GLM, Llama 4, Gemma 4, Devstral and more — for free</strong>
  </p>

  复制粘贴的修复

  复制

  <h1 align="center">free-coding-models: The CLI for Finding, Benchmarking, and Installing Free Coding LLMs</h1>
  
  <p align="center">
    <strong>A powerful command-line interface (CLI) to discover, benchmark, and install over 170 free coding LLM models from 15+ providers in real time.</strong><br>
    Quickly find the fastest free coding model and integrate its API endpoints into your favorite AI coding tools: OpenCode CLI, OpenClaw, Crush, Goose, Aider, Kilo CLI, Continue, and many more. Use models like Kimi K2, DeepSeek V3, GPT-OSS, Qwen3, MiniMax M2, GLM, Llama 4, Gemma 4, and Devstral — all for free.
  </p>

  待办完成忽略
• mediumtopics#2

  Add specific topics for CLI, benchmarking, and model management

  原因：

  当前

  ai, deepseek, free, free-ai, freeai, gpt, gptoss, kimi, nim, nvidia, nvidia-nim, nvidia-nim-api, nvidia-nims, openclaw, opencode

  复制粘贴的修复

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  ai, deepseek, free, free-ai, freeai, gpt, gptoss, kimi, nim, nvidia, nvidia-nim, nvidia-nim-api, nvidia-nims, openclaw, opencode, cli-tool, llm-benchmarking, model-management, coding-assistant-integration, free-llms

  待办完成忽略
• lowlicense#3

  Clarify the project's license(s) in the README

  原因：

  复制粘贴的修复

  复制

  Add a clear statement in the '⚖️ Licensing' section of the README, specifying the exact license(s) that apply to the project, e.g., 'This project is licensed under [License Name 1] and [License Name 2]. See the LICENSE file for full details.'

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I discover and benchmark various free large language models for coding assistance?

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face Hub
  2. Code Llama
  3. StarCoder/StarCoder2
  4. DeepSeek Coder
  5. Phi-2
  6. Mistral 7B / Mixtral 8x7B
  7. Open LLM Leaderboard
  8. Papers With Code
  9. GitHub
  10. LM Sys Chatbot Arena / AlpacaEval
  11. HumanEval
  12. MBPP (Mostly Basic Python Problems)
  13. evaluate
  14. llama.cpp

  AI 推荐了 14 个替代方案，却始终没点名 vava-nessa/free-coding-models。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools help integrate free AI coding models into my development environment or CLI?

  你：未被推荐
  AI 推荐顺序：

  1. GitHub Copilot
  2. Tabnine
  3. Codeium
  4. Continue
  5. Ollama
  6. CodeGPT
  7. JetBrains AI Assistant
  8. FauxPilot

  AI 推荐了 8 个替代方案，却始终没点名 vava-nessa/free-coding-models。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of vava-nessa/free-coding-models?

  pass
  ⚠AI 未点名 vava-nessa/free-coding-models —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts vava-nessa/free-coding-models in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 vava-nessa/free-coding-models

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo vava-nessa/free-coding-models solve, and who is the primary audience?

  pass
  ⚠AI 未点名 vava-nessa/free-coding-models —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？