Google Gemini vs LLMxRay

Google Gemini 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

Google GeminiLLMxRay
CategoryAI Chat & Q&A · ChatbotsAI Chatbots · Conversational AI
PricingFree tier: yes. AI Plus $4.99/mo, AI Pro $19.99/mo, Ultra from $99.99/mo. (checked Oct 10, 2026)Free, open source (Apache-2.0). (checked Oct 14, 2026)
Pros
  • Deep integration with Gmail, Docs, Drive and Chrome
  • A cheap Plus tier at $4.99/mo, and Pro bundles big storage (reviews cite 5TB) plus Flow video credits
  • Long context for large documents
  • 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
  • Usage limits are compute-based and opaque, refreshing every 5 hours with a weekly cap
  • Developers report shrinking practical quotas in AI Studio
  • Less compelling outside Google's ecosystem (per reviews)
  • 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 live in Google Workspace.Developers running local models in Ollama who want to see why responses are slow or bad.
Skip it ifYou're not a Google user, or you need published usage numbers.You use hosted APIs (OpenAI, Anthropic) rather than local models; a cloud LLM observability tool fits better.

Which should you pick?

Pick Google Gemini if…

you fit this: people who live in Google Workspace.

But not if: you're not a Google user, or you need published usage numbers.

Watch out for: Usage limits are compute-based and opaque, refreshing every 5 hours with a weekly cap.

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

Google Gemini

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.