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Claude vs ChatGPT vs Gemini: Compared Side by Side

Run claude-opus-5-5 and gpt-5 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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Put Claude, ChatGPT, and Gemini on the same question and no single one runs away with it. What our runs showed is more useful than a winner: each pairing surfaces a different trade-off. Against Claude, ChatGPT ran longer and costlier. Against Gemini, ChatGPT again gave more detail while Gemini came back cheaper and tighter. The “best” of the three genuinely depends on which two you hold up against each other, and on what you are optimizing for.

The runs

The free tool compares two models at a time, so we ran two head-to-heads that share ChatGPT as the common reference point. The setup behind both:

  • Prompt: one everyday question (below), with an “under 200 words” limit.
  • Models: Claude claude-opus-5-5, ChatGPT gpt-5, 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. Two real runs.

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.

Claude and ChatGPT

Claude (claude-opus-5-5)

  • Cost: $0.0095
  • Speed: 5.8s
  • Length: 457 tokens (close to the limit)

ChatGPT (gpt-5)

  • Cost: $0.0135
  • Speed: 16.2s
  • Length: 1,338 tokens (well over the limit)

ChatGPT and Gemini

ChatGPT (gpt-5)

  • Cost: $0.0083
  • Speed: 12.7s
  • Length: 821 tokens

Gemini (gemini-4-argon)

  • Cost: $0.0029 (cheapest here)
  • Speed: 8.6s
  • Length: 275 tokens (tightest here)

Read together, ChatGPT is the common thread: longer and costlier than Claude in the first run, and again more detailed than the cheaper, tighter Gemini in the second. Useful, but comparing two pairs by eye is exactly the work that gets easier when all three run at once against one standard.

Insight: A three-way question rarely has a single answer. Each pairing you look at highlights a different trade-off:

  • Claude vs ChatGPT here was about length discipline and speed.
  • ChatGPT vs Gemini here was about cost and concision.

Comparing pairs one at a time by eye is slow and easy to bias. Lining all three up against the same task, scored, is how you get a straight answer.

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.

Try a two-way on your own question

The free tool compares any two of the three on your own prompt, with your own keys, in about a minute:

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

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

The free tool compares two models at a time. To run Claude, ChatGPT, and Gemini together on one prompt, up to 20 models at once, scored against your task, with a read on which part of your setup caused a weak answer, use the full product at llmprover.pysolvr.com.

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.