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Grok vs Gemini: Which Is Better? Side by Side

Run grok-4.7 and gemini-4-argon head-to-head on your own prompt, with your own API keys. Real responses, cost, and latency side by side. Free, no signup.

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Most model matchups show a wide gap on at least one measure. Grok and Gemini did not. In our run they finished close on both cost and speed, within a fraction of a cent and a second or two of each other. When two models are this evenly matched on the numbers, the deciding factor is which answer actually reads better for your job, not the metrics.

The run

The whole setup behind the numbers:

  • Prompt: one everyday question (below), with an “under 200 words” limit.
  • Models: Grok grok-4.7 and Gemini gemini-4-argon.
  • Settings: each model’s default, temperature 0.7, no system prompt, no extra context.
  • Keys: our own, calling each provider directly. One real run.

Prompt

A small bakery owner asks: “A customer wants to return a custom birthday cake they already picked up, saying it was ’too sweet.’ They’ve eaten half of it. How should I handle this professionally while protecting my small business?” Give practical, specific advice in under 200 words.

The result, side by side

Grok (grok-4.7)

  • Cost: $0.0038
  • Speed: 7.6 seconds
  • Length: 205 tokens
  • Style: plain prose, firm and consistent

Gemini (gemini-4-argon)

  • Cost: $0.0028
  • Speed: 6.3 seconds
  • Length: 261 tokens
  • Style: bolded, numbered, with a ready-to-use script

The actual answers:

Grok (grok-4.7)
Listen, acknowledge the complaint, and stay calm. Do not argue about taste, since it is subjective and they already ate half. Politely decline a full refund, and offer a small goodwill gesture only if it fits your margins, store credit or a modest discount, not cash back. State your policy clearly and consistently, put it on your website and receipts, and document the interaction. Protect the business by being firm, fair, and the same with every customer.
Gemini (gemini-4-argon)
Stand firm on your product. If the cake was made correctly, do not refund, especially since half was eaten; a preference is not a defect. Use a short script that leads with empathy, pivots to your standards, and offers a 15 percent discount or small store credit toward a less-sweet option. Take back the uneaten half if you offer anything, and add a clause to your order contract: no refunds on custom cakes once picked up.

Both reach the same core advice, and the numbers barely separate them. The visible difference is format: Grok in plain prose, Gemini in a bolded, scannable layout with a script.

Insight: When the cost and speed numbers are this close, they stop being the deciding factor. The tiebreaker becomes fit: which answer’s format and tone suit how you will actually use it. That is a judgment the numbers cannot make for you, which is exactly why you read the answers, not just the metrics.

These results come from a specific run on 2026-11-02 on one defined task, using real models through a real pipeline. They show how each model performed on that task, not a general ranking of model quality, which depends entirely on your task and data. Run your own to see your numbers.

Run it on your own question

The free tool below opens with Grok and Gemini ready to go:

  1. Click Launch to open the notebook.
  2. Paste your own question and add your own API keys.
  3. Read both answers side by side with their cost and speed, in about a minute.

Nothing is sent to our servers, and your keys stay on your machine.

Want to go further? At llmprover.pysolvr.com you can score which answer is actually best for your task, compare up to 20 models at once, and see which part of your setup caused a weak answer.

Run as of 2026-11-02. Models and their prices change often, so run a fresh comparison to see today’s result on your own question.

This free tool is a slice of the full product. With a paid plan you also get:

  • compare up to 20 models at once
  • score which answer is best
  • see which part of your setup caused a weak answer
  • save benchmarks and track changes over time
  • let your AI agent run it for you
See plans ->
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Free tool, provided as-is, no warranty. Uses your own API key. You are responsible for your usage and costs. Keys never leave your machine and are never sent to pysolvr. Outputs are informational, not advice. pysolvr is not liable for decisions made from these results.