OpenRouter Telegram Bot

The OpenRouter Telegram Bot allows you to interact with various models through Telegram. This bot supports 33 different models, providing a wide range of functionalities and integrations.

Features

• Supports 33 models for diverse applications.
• Easy integration with Telegram for seamless interaction.
• Customizable and extendable for various use cases.

Installation Instructions

Prerequisites

• Python 3.8 or higher
• Telegram account and bot token
• OpenRouter API key

Steps

1. Clone the Repository

   git clone https://github.com/yourusername/openrouter-telegram-bot.git
   cd openrouter-telegram-bot

2. Install Dependencies

   pip install -r requirements.txt

3. Set Up Environment Variables

   Create a .env file in the project root directory and add your Telegram bot token and OpenRouter API key:

   API_TOKEN=your_telegram_bot_token
   OPENROUTER_API_KEY=your_openrouter_api_key
   

4. Run the Bot

   python main.py

Usage Commands

• /start: Start the bot and get a welcome message.
• /help: Display a list of available commands.
• /models: List all 33 supported models.

AI Model List

This Telegram OpenRouter bot contains a list of various AI models along with brief descriptions. Each model is numbered for easy reference.

AI Models

1. Google: Gemma 3 4B (free) (google/gemma-3-4b-it:free)

   • Description: Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

2. Qwen: QWQ 32B (free) (qwen/qwq-32b:free)

   • Description: A distilled version of the DeepSeek-R1 model, optimized for reasoning domains like mathematics, coding, and logic.

3. RekaAI: Reka Flash 3 (free) (rekaai/reka-flash-3:free)

   • Description: Experimental release with limited multilingual understanding capabilities.

4. Google: Gemma 3 12B (free) (google/gemma-3-12b-it:free)

   • Description: Part of the Gemma 3 family, offering improved math, reasoning, and chat capabilities.

5. MoonShotAI: MoonLight 16B A3B Instruct (free) (moonshotai/moonlight-16b-a3b-instruct:free)

   • Description: Optimized for low-latency performance across common AI tasks.

6. NousResearch: DeepHermes 3 Llama 3 8B Preview (free) (nousresearch/deephermes-3-llama-3-8b-preview:free)

   • Description: A preview model based on Llama 3, designed for high-quality dialogue use cases.

7. Qwen: QWQ 32B Preview (free) (qwen/qwq-32b-preview:free)

   • Description: Preview version of Qwen's 32B parameter model.

8. DeepSeek: DeepSeek R1 Zero (free) (deepseek/deepseek-r1-zero:free)

   • Description: Fully open-source model with strong performance in reasoning domains.

9. DeepSeek: DeepSeek Chat (free) (deepseek/deepseek-chat:free)

   • Description: Open-source model optimized for chat applications.

10. Google: Gemini 2.0 Flash Thinking Experimental (free) (google/gemini-2.0-flash-thinking-exp:free)

    • Description: Experimental version of Gemini Flash optimized for speed and efficiency.

11. DeepSeek: DeepSeek R1 (free) (deepseek/deepseek-r1:free)

    • Description: Open-sourced model with fully open reasoning tokens.

12. Sophosympatheia: Rogue Rose 103B v0.2 (free) (sophosympatheia/rogue-rose-103b-v0.2:free)

    • Description: A large language model with strong reasoning capabilities.

13. Google: Gemini 2.0 Flash Experimental (free) (google/gemini-2.0-flash-exp:free)

    • Description: Experimental version of Gemini Flash with reduced latency.

14. Google: Gemma 2 27B (free) (google/gemma-2-27b-it:free)

    • Description: Advanced open-source language model built using Google's research.

15. Google: Gemini Experimental 1206 (free) (google/gemini-exp-1206:free)

    • Description: Experimental release (December 6, 2024) of Gemini.

16. Meta-Llama: Llama 3.3 70B Instruct (free) (meta-llama/llama-3.3-70b-instruct:free)

    • Description: Meta's latest class of model optimized for high-quality dialogue.

17. MistralAI: Mistral Small 24B Instruct 2501 (free) (mistralai/mistral-small-24b-instruct-2501:free)

    • Description: A 24B-parameter language model optimized for low-latency performance.

18. DeepSeek: DeepSeek R1 Distill Qwen 32B (free) (deepseek/deepseek-r1-distill-qwen-32b:free)

    • Description: Distilled version of Qwen 2.5 32B, achieving state-of-the-art results.

19. DeepSeek: DeepSeek R1 Distill Qwen 14B (free) (deepseek/deepseek-r1-distill-qwen-14b:free)

    • Description: Distilled version of Qwen 2.5 14B, outperforming OpenAI's o1-mini.

20. DeepSeek: DeepSeek R1 Distill Llama 70B (free) (deepseek/deepseek-r1-distill-llama-70b:free)

    • Description: Distilled version of Llama 70B, optimized for reasoning tasks.

21. Google: Gemini 2.0 Flash Lite Preview (February 05, 2024) (google/gemini-2.0-flash-lite-preview-02-05:free)

    • Description: Preview version of Gemini Flash Lite with faster time-to-first-token.

22. Qwen: Qwen 2.5 VL 72B Instruct (free) (qwen/qwen2.5-vl-72b-instruct:free)

    • Description: Multimodal LLM from the Qwen Team with enhancements for vision-language tasks.

23. Qwen: Qwen 2.5 Coder 32B Instruct (free) (qwen/qwen-2.5-coder-32b-instruct:free)

    • Description: Specialized for coding tasks, part of the Qwen 2.5 family.

24. NVIDIA: Llama 3.1 Nemotron 70B Instruct (free) (nvidia/llama-3.1-nemotron-70b-instruct:free)

    • Description: Optimized for natural language tasks and multiturn text/code chat.

25. Google: Gemma 2 9B (free) (google/gemma-2-9b-it:free)

    • Description: Open-source language model suitable for text generation tasks.

26. Meta-Llama: Llama 3.2 3B Instruct (free) (meta-llama/llama-3.2-3b-instruct:free)

    • Description: Smaller variant of Meta's Llama 3 series, optimized for dialogue.

27. Meta-Llama: Llama 3.2 1B Instruct (free) (meta-llama/llama-3.2-1b-instruct:free)

    • Description: Compact version of Llama 3, designed for lightweight use cases.

28. Meta-Llama: Llama 3.2 11B Vision Instruct (free) (meta-llama/llama-3.2-11b-vision-instruct:free)

    • Description: Vision-enabled variant of Llama 3, supporting multimodal tasks.

29. Qwen: Qwen 2.5 72B Instruct (free) (qwen/qwen-2.5-72b-instruct:free)

    • Description: Latest series of Qwen large language models with significant improvements.

30. Qwen: Qwen 2 7B Instruct (free) (qwen/qwen-2-7b-instruct:free)

    • Description: Transformer-based model excelling in language understanding and coding.

31. MistralAI: Mistral Nemo (free) (mistralai/mistral-nemo:free)

    • Description: Multimodal model supporting image and video inputs.

32. MistralAI: Mistral Small 3.1 24B Instruct (free) (mistralai/mistral-small-3.1-24b-instruct:free)

    • Description: Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and vision tasks, including image analysis, programming, and mathematical reasoning.

33. Open-R1: OlympicCoder 7B (free) (open-r1/olympiccoder-7b:free)

    • Description: OlympicCoder-7B is an open-source language model fine-tuned on the CodeForces-CoTs dataset, consisting of nearly 100,000 high-quality chain-of-thought examples from competitive programming contexts.

Contributing

Contributions are welcome! Please read the contributing guidelines first.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Support

For any issues or feature requests, please open an issue on the GitHub repository.