LLM'S Overview - December 2025
This article profiles the December 2025 LLM landscape as deterministic informational infrastructure: ~800M–1B daily users globally, dominated by integrated platforms (Gemini, ChatGPT, Copilot, Meta AI) yet diversified by specialization—Claude for long-context analysis, Perplexity for cited research, DeepSeek for free-tier coding. Command-line tools (Ollama, llama.cpp, vLLM) enable sovereign, local deployment without vendor lock-in. Framed within your Unification Project, LLMs are not mystical oracles but testable, reproducible protocols where value flows from individual verification, not imposed doctrine. Open-source models (Llama) and CLI frameworks treat intelligence as public good: lawful, customizable, and user-controlled—shifting AI from recurring expense to capital investment in deterministic, scalable reasoning.
Chapter 1
Global LLM Usage List - December 2025
(Estimated active users, not percentages)
1. Gemini
Primary Company: Google
Est. Active Users: 500M+ daily
Main Access: Android, Search, gemini.google.com
2. ChatGPT
Primary Company: OpenAI
Est. Active Users: 180M weekly
Main Access: https://www.google.com/search?q=chatgpt.com, apps
3. Copilot
Primary Company: Microsoft
Est. Active Users: 300M+ monthly
Main Access: Windows, Office, copilot.microsoft.com
4. Meta AI
Primary Company: Meta
Est. Active Users: 400M+ monthly
Main Access: WhatsApp, Instagram, Facebook
5. Claude
Primary Company: Anthropic
Est. Active Users: 75M+ monthly
Main Access: claude.ai, apps
6. DeepSeek
Primary Company: DeepSeek Inc.
Est. Active Users: 60M+ monthly
Main Access: chat.deepseek.com, apps
7. ERNIE Bot
Primary Company: Baidu
Est. Active Users: 200M+ monthly
Main Access: Baidu ecosystem
8. Kimi Chat
Primary Company: Moonshot AI
Est. Active Users: 80M+ monthly
Main Access: kimi.moonshot.cn
9. Perplexity
Primary Company: Perplexity AI
Est. Active Users: 40M+ monthly
Main Access: perplexity.ai
10. Grok
Primary Company: xAI
Est. Active Users: 35M+ monthly
Main Access: X (Twitter) integration
11. Tongyi Qianwen
Primary Company: Alibaba
Est. Active Users: 150M+ monthly
Main Access: DingTalk, Alibaba Cloud
12. Cohere
Primary Company: Cohere
Est. Active Users: 25M+ monthly
Main Access: Enterprise APIs
13. Llama (various)
Primary Company: Meta
Est. Active Users: 50M+ via platforms
Main Access: Hugging Face, Groq, Poe
14. You.com
Primary Company: You.com
Est. Active Users: 20M+ monthly
Main Access: you.com
15. Phind
Primary Company: Phind Inc.
Est. Active Users: 15M+ monthly
Main Access: phind.com
Note: These are estimates. No company publishes exact comparable daily active user counts. The top 4 have the largest actual usage due to being pre-installed on billions of devices.
Total estimated daily LLM users worldwide: ~800M-1.000M people
Chapter 2
What Each LLM Is Best At
1. Gemini (Google)
Best at: Real-time information & Google ecosystem integration
Excels in accurate search, using Google’s data (Gmail, Drive, Maps), multi-language support, and free multimodal features.
2. ChatGPT (OpenAI)
Best at: All-round conversation & reasoning
Strongest in creative tasks, nuanced dialogue, complex problem-solving, and maintaining consistent conversational context.
3. Copilot (Microsoft)
Best at: Productivity & Office integration
Seamlessly works with Word, Excel, PowerPoint, Outlook. Best for work tasks, document creation, and Windows integration.
4. Meta AI
Best at: Social & visual content
Integrated in WhatsApp/Instagram for quick queries, image generation in chats, and casual, accessible AI in social contexts.
5. Claude (Anthropic)
Best at: Long documents & analysis
Unmatched for uploading and analyzing PDFs, books, research papers (200K+ context). Best for careful, detailed writing.
6. DeepSeek
Best at: Long context & coding (free tier)
Excellent 128K+ context window, strong coding assistance, completely free with strong reasoning capabilities.
7. ERNIE Bot (Baidu)
Best at: Chinese language & culture
Superior understanding of Chinese idioms, history, literature, and integrated with Baidu’s search and maps.
8. Kimi Chat (Moonshot AI)
Best at: Extreme long context
Specializes in analyzing enormous documents (up to 2M tokens), books, and maintaining extremely long conversations.
9. Perplexity AI
Best at: Research with citations
Answers with source citations, excellent for fact-checking, academic research, and up-to-date information.
10. Grok (xAI)
Best at: Sarcasm & real-time X/Twitter data
Unique personality with humor/sarcasm, accesses real-time X posts, appeals to tech-savvy users.
11. Tongyi Qianwen (Alibaba)
Best at: E-commerce & business in Asia
Strong in business applications, integrated with Alibaba’s e-commerce ecosystem, and enterprise solutions.
12. Cohere
Best at: Enterprise & multilingual business
Optimized for business deployment, strong in multiple languages, and enterprise-grade security.
13. Llama (Meta’s open models)
Best at: Open-source customization
Free to modify, fine-tune, and deploy. Best for developers wanting full control and customization.
14. You.com
Best at: Privacy-focused search
Combines LLM chat with private search, appeals to users concerned about data privacy.
15. Phind
Best at: Technical coding help
Specifically optimized for developers, with deep code understanding and technical documentation assistance.
Quick Reference by Use Case:
General questions & accessibility: Gemini (free), ChatGPT
Work/Office tasks: Copilot
Analyzing long documents: Claude, Kimi, DeepSeek
Research with sources: Perplexity
Coding & development: DeepSeek (free), Phind, ChatGPT
Chinese content: ERNIE, DeepSeek
Social/quick queries: Meta AI
Enterprise deployment: Cohere, Claude
Open-source customization: Llama models
Each has evolved in 2025 to specialize while maintaining general capabilities.
Chapter 3
Command-Line LLMs on GitHub (December 2025)
Top 15 CLI LLM Tools - Each Best At:
1. Ollama (ollama/ollama)
Best at: Simplest local model deployment
Easiest way to pull and run models locally. One-line install, 400+ models, built-in API server.
Core strength: ollama run llama3 simplicity
2. LM Studio (lmstudio-ai/lmstudio)
Best at: GUI-first with full CLI control
Beautiful desktop app with complete CLI integration. Best for non-technical users who need CLI access.
Core strength: Model management via CLI with GUI fallback
3. llama.cpp (ggerganov/llama.cpp)
Best at: CPU-only efficiency
Pure C/C++ implementation optimized for CPU inference. Runs on Raspberry Pi, old laptops, minimal hardware.
Core strength: ./main -m model.bin -p "Hello" on any CPU
4. Text Generation WebUI (oobabooga/text-generation-webui)
Best at: Features & customization
Swiss Army knife - supports every loader (Transformers, ExLlama, GPTQ), extensions, LoRAs.
Core strength: python server.py --api for maximum flexibility
5. vLLM (vllm-project/vllm)
Best at: High-throughput production serving
Enterprise-grade inference engine with PagedAttention. Used by companies for production deployments.
Core strength: python -m vllm.entrypoints.api_server for scale
6. TabbyML (TabbyML/tabby)
Best at: Self-hosted GitHub Copilot
Open-source coding assistant that runs locally. Drop-in replacement for GitHub Copilot.
Core strength: tabby serve --model StarCoder2-7B for coding
7. LocalAI (mudler/LocalAI)
Best at: OpenAI API compatibility
Drop-in replacement for OpenAI API using local models. If your app uses OpenAI, swap endpoint to LocalAI.
Core strength: curl localhost:8080/v1/chat/completions = OpenAI compatible
8. Continue (continuedev/continue)
Best at: IDE integration via CLI
VS Code/JetBrains extension with CLI control. Edit code via terminal commands.
Core strength: continue submit --message "refactor this"
9. Jan (janhq/jan)
Best at: Privacy-focused desktop suite
Local-first ChatGPT alternative with CLI, GUI, and mobile sync.
Core strength: jan run --model=mistral with local data only
10. LLaMA-Factory (hiyouga/LLaMA-Factory)
Best at: Fine-tuning workflows
Unified framework for training/fine-tuning with CLI-first approach.
Core strength: llamafactory-cli train for custom model training
11. GPT4All (nomic-ai/gpt4all)
Best at: Consumer hardware optimization
Specifically tuned for laptops and desktops, not servers.
Core strength: gpt4all-cli chat for everyday users
12. Transformers.js (xenova/transformers.js)
Best at: Browser + Node.js inference
Run models directly in Node.js without Python. Pure JavaScript/TypeScript.
Core strength: npm run start for JS/TS developers
13. RWKV.cpp (saharNooby/rwkv.cpp)
Best at: Memory-efficient RNN alternative
RNN-based architecture, constant memory usage regardless of context length.
Core strength: ./rwkv -m model.bin for infinite context cheaply
14. KoboldCpp (LostRuins/koboldcpp)
Best at: Gaming/RP story generation
Optimized for AI dungeon, storytelling, roleplay with built-in world info.
Core strength: koboldcpp.exe --model storywriter.bin for narrative
15. mlc-llm (mlc-ai/mlc-llm)
Best at: Universal device deployment
Compile models for iPhone, Android, WebGPU, Metal, Vulkan, CUDA.
Core strength: mlc_llm compile for any hardware target
Quick Reference by Use Case:
For beginners: Ollama (simplest)
For developers: vLLM (production), TabbyML (coding)
For researchers: llama.cpp (custom), LLaMA-Factory (training)
For apps: LocalAI (API compatibility)
For gaming: KoboldCpp (storytelling)
For mobile/web: mlc-llm (cross-platform)
For JavaScript: Transformers.js (Node.js)
For privacy: Jan (fully local)
For features: Text Generation WebUI (most options)