ChatGPT vs LLMxRay

ChatGPT and LLMxRay are both AI Chat & Assistants tools (Chatbots). Below: what each costs, what it does well, its biggest catches, and who should pick which, all from public sources rather than our own testing.

Side by side

ChatGPTLLMxRay
CategoryAI Chat & Q&A · ChatbotsAI Chatbots · Conversational AI
PricingFree tier: yes. Go $8/mo (US, may include ads), Plus $20/mo, Pro from $100/mo. (checked Oct 10, 2026)Free, open source (Apache-2.0). (checked Oct 14, 2026)
Pros
  • The free tier is real: unlimited everyday text chats, with uploads, images, voice and deep research included in limited amounts
  • Go at $8/mo gets you more messages, uploads and memory for well under half the price of Plus
  • Plus bundles reasoning models, projects, scheduled tasks, custom GPTs and Codex in one subscription
  • Free and open source (Apache-2.0), and starts with one command (npx llmxray) or Docker
  • Shows token-by-token streaming with speed coloring, plus automatic flags for repetition, refusals, gibberish and truncation
  • Can sit in front of Ollama so tools like VS Code Copilot, Open WebUI or Continue send traffic through it, showing prompt size and cache behavior per turn
Catches
  • Free and Go may show ads. Plus ($20/mo) is the cheapest ad-free plan
  • No annual billing on Go, Plus or Pro, so no discount for committing
  • Most limits say 'limited' or 'expanded' rather than giving a number, so it's hard to know when you'll hit the wall
  • Built for Ollama only: you need it running locally with a model pulled
  • A small project so far (about 22 GitHub stars and 2 forks), and its Show HN got no comments, so there's little outside feedback
  • The 3.5x-faster prefill result in Cache Lab comes from the author's own test
Best forPeople who want one assistant for writing, research, images and light coding.Developers running local models in Ollama who want to see why responses are slow or bad.
Skip it ifYou need predictable, published usage caps, or ads are a dealbreaker on a budget.You use hosted APIs (OpenAI, Anthropic) rather than local models; a cloud LLM observability tool fits better.

Which should you pick?

Pick ChatGPT if…

you fit this: people who want one assistant for writing, research, images and light coding.

But not if: you need predictable, published usage caps, or ads are a dealbreaker on a budget.

Watch out for: Free and Go may show ads. Plus ($20/mo) is the cheapest ad-free plan.

Pick LLMxRay if…

you fit this: developers running local models in Ollama who want to see why responses are slow or bad.

But not if: you use hosted APIs (OpenAI, Anthropic) rather than local models; a cloud LLM observability tool fits better.

Watch out for: Built for Ollama only: you need it running locally with a model pulled.

More options

Sources

ChatGPT

LLMxRay

Pros, catches and prices are compiled from public sources (official pricing and docs pages, published reviews, user reports), not hands-on testing. Prices change often, so check the vendor page before you buy.