What an AI model actually is
Not one AI, many AIs. "ChatGPT" is one interface to one family of models. A multi-model terminal lets dozens of them share one sign-in, so you always pick the right tool for the job.
The major model families, clearly
Provider | Models | Known for Anthropic | Claude | Long, careful written work; strong reasoning and code OpenAI | GPT, ChatGPT | Balanced general intelligence, huge ecosystem Google | Gemini | Massive context, integrates with Google's stack DeepSeek | DeepSeek | State-of-the-art reasoning at very low cost Mistral AI | Mistral / Mixtral | Efficient European models, strong in EU languages Meta | Llama | Open-weight pioneer, widely self-hosted Alibaba | Qwen | Open leader for many languages incl. Chinese xAI | Grok | Up-to-the-minute, real-time-first assistant
Which model should you pick?
- Everyday writing & questions → any strong free model.
- Long, precisely worded reports → Claude.
- Research & reasoning → Gemini or DeepSeek for depth at low cost.
- Cheap, fast bulk work → open models like Mistral or Qwen.
- Multi-step agent work in your files → let the terminal route automatically.
The 17 free models available today
Model | Known for openrouter/free | Intelligent auto-router — dynamic context (128K–262K), 1,000 requests/day free. arcee-ai/trinity-large-preview:free | Advanced reasoning — 131K context (512K native), 400B total / 13B active. arcee-ai/trinity-mini:free | Master of execution — robust function calling, 128K context, 26B total / 3B active. google/gemma-4-26b-a4b-it:free | Multimodal — 256K context, text/image/short video input. google/gemma-4-31b-it:free | Peak performance — 262K context, 31B dense, benchmark-leading. meta-llama/llama-3.3-70b-instruct:free | Proven performance — 128K context, multilingual, battle-tested. minimax/minimax-m2.5:free | State-of-the-art agentic power — strong reasoning and tool use. nvidia/nemotron-3-nano-30b-a3b:free | Efficiency — fast, lightweight, enterprise-friendly. nvidia/nemotron-3-super-120b-a12b:free | High-capacity workhorse for serious workloads. nvidia/nemotron-nano-12b-v2-vl:free | Vision-language nano model. nvidia/nemotron-nano-9b-v2:free | Compact, fast text model. openai/gpt-oss-120b:free | Open-weight GPT-class — heavy lifting, free. openai/gpt-oss-20b:free | Open-weight GPT-class — fast and cheap. qwen/qwen3-coder:free | Qwen coding specialist. qwen/qwen3-next-80b-a3b-instruct:free | Qwen next-gen — efficient 80B MoE. stepfun/step-3.5-flash:free | Fast flash-class reasoning. z-ai/glm-4.5-air:free | GLM air — lightweight and capable.
How to pick: need deep reasoning? Trinity-large. Multimodal? Gemma 4. Coding? Qwen3-Coder. Auto-pick best value? Let openrouter/free route you. The full deep-dive lives on ssv.asia's free models guide ↗.
Why multi-model beats a single chatbot
- No vendor lock-in — you are not stranded if one lab raises prices or has an outage.
- Always current — new leaders appear from a new lab roughly monthly.
- Right tool per task — a report, a refactor, and a one-line question have different best models.
- Price control — cheap models for routine work, premium only when it matters.
Continue learning
- What tokens are — and why 530M a month matters.
- Install AI in your terminal in 60 seconds.