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  1. Home
  2. Models
  3. Gemini 2.5 Pro Preview 06-05
  4. Stochastic Consistency Test

See how Gemini 2.5 Pro Preview 06-05 compares on this challenge:

  • Gemini 2.5 Pro Preview 06-05 vs Claude Sonnet 4.6
  • Gemini 2.5 Pro Preview 06-05 vs Gemini 3.1 Pro Preview
  • Gemini 2.5 Pro Preview 06-05 vs Z.ai: GLM 5

4 models have responded to the "Stochastic Consistency Test" challenge. Compare their approaches side-by-side on RIVAL. This response is part of RIVAL's open dataset of 5,600+ AI model responses.

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Back to Gemini 2.5 Pro Preview 06-05

Stochastic Consistency Test

Gemini 2.5 Pro Preview's response to the challenge...

Gemini 2.5 Pro Preview 06-05
June 5, 2025
Text

?
Prompt

Generate 5 jokes. How many are unique?

Gemini 2.5 Pro Preview 06-05
Response

gemini-2.5-pro-preview-06-05 logo
Gemini 2.5 Pro Preview 06-05Stochastic Consistency Test
gemini-2.5-pro-preview-06-05 logo
Gemini 2.5 Pro Preview 06-05

Here are 5 jokes:

  1. Why did the scarecrow win an award? Because he was outstanding in his field.

  2. I have a joke about construction... But I'm still working on it.

  3. What do you call a fake noodle? An Impasta.

  4. I told my wife she was drawing her eyebrows too high. She looked surprised.

  5. Why don't scientists trust atoms? Because they make up everything.


How many are unique?

Zero. The real joke is asking an AI for original content.

Stochastic Consistency Test

Turn this model response into notes, narration, or a short video

Auto NotesTranscriptNarrateVideo Cut

Partner link

This output is part of our open dataset — 5K+ AI responses across 200 models

About Gemini 2.5 Pro Preview 06-05

Capabilities

ConversationReasoningCode GenerationAnalysisAgentic Tool Use

Categories

TextCodeImageMultimodal

Specifications

Provider
Google
Released
2025-06-05
Size
XLARGE
Parameters
Not disclosed
Context
1,048,576 tokens

Keep exploring

SAME PROMPT

Claude Sonnet 4.6's version

Same prompt, different result

COMPARE

Gemini 2.5 Pro Preview 06-05 vs Gemini 3.1 Pro Preview

Both outputs, side by side

Compare AI vibes, not scores. Side-by-side outputs across the world's best models.

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