Learn AI · Models

Frontier AI models, explained simply.

All the names you hear — Claude, GPT, Gemini, DeepSeek, Qwen — explained without the hype, so you know what is actually running behind your prompts.

What an AI model actually is

An AI model is a large pattern-recognition system trained on enormous amounts of text. When you type a prompt, the model predicts the most useful reply. Different labs train different models, and each has slightly different strengths — some are better at long, technical writing; some reason faster; some are extraordinarily cheap.

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

ProviderModelsKnown for
AnthropicClaudeLong, careful written work; strong reasoning and code
OpenAIGPT, ChatGPTBalanced general intelligence, huge ecosystem
GoogleGeminiMassive context, integrates with Google's stack
DeepSeekDeepSeekState-of-the-art reasoning at very low cost
Mistral AIMistral / MixtralEfficient European models, strong in EU languages
MetaLlamaOpen-weight pioneer, widely self-hosted
AlibabaQwenOpen leader for many languages incl. Chinese
xAIGrokUp-to-the-minute, real-time-first assistant

Plus 200+ more across the open and closed ecosystem — the ssv.asia gateway routes to the best available model for each request.

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.

You do not need to become a model expert. The terminal routes automatically to the strongest available model for your plan and task — that is the entire point of a multi-model setup.

The 17 free models available today

Straight from the ssv.asia free-tier guide — these are the actual free AI intelligence providers and models you can rotate through on the terminal right now, no subscription required:

ModelKnown for
openrouter/freeIntelligent auto-router — dynamic context (128K–262K), 1,000 requests/day free.
arcee-ai/trinity-large-preview:freeAdvanced reasoning — 131K context (512K native), 400B total / 13B active.
arcee-ai/trinity-mini:freeMaster of execution — robust function calling, 128K context, 26B total / 3B active.
google/gemma-4-26b-a4b-it:freeMultimodal — 256K context, text/image/short video input.
google/gemma-4-31b-it:freePeak performance — 262K context, 31B dense, benchmark-leading.
meta-llama/llama-3.3-70b-instruct:freeProven performance — 128K context, multilingual, battle-tested.
minimax/minimax-m2.5:freeState-of-the-art agentic power — strong reasoning and tool use.
nvidia/nemotron-3-nano-30b-a3b:freeEfficiency — fast, lightweight, enterprise-friendly.
nvidia/nemotron-3-super-120b-a12b:freeHigh-capacity workhorse for serious workloads.
nvidia/nemotron-nano-12b-v2-vl:freeVision-language nano model.
nvidia/nemotron-nano-9b-v2:freeCompact, fast text model.
openai/gpt-oss-120b:freeOpen-weight GPT-class — heavy lifting, free.
openai/gpt-oss-20b:freeOpen-weight GPT-class — fast and cheap.
qwen/qwen3-coder:freeQwen coding specialist.
qwen/qwen3-next-80b-a3b-instruct:freeQwen next-gen — efficient 80B MoE.
stepfun/step-3.5-flash:freeFast flash-class reasoning.
z-ai/glm-4.5-air:freeGLM air — lightweight and capable.

Most share the 1,000 requests/day (20 RPM) free-tier budget. Use /new to reset the session token counter, like moving a typewriter to a new line — so you can rotate between models all day without interruption.

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.