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© 2026 Rival
  1. Home
  2. Models
  3. Gemini 2.5 Flash Preview 05-20
  4. Stochastic Consistency Test

See how Gemini 2.5 Flash Preview 05-20 compares on this challenge:

  • Gemini 2.5 Flash Preview 05-20 vs Claude Sonnet 4.6
  • Gemini 2.5 Flash Preview 05-20 vs Gemini 3.1 Pro Preview
  • Gemini 2.5 Flash Preview 05-20 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 Flash Preview 05-20

Stochastic Consistency Test

Gemini 2.5 Flash Preview 05-20's response to the challenge...

Gemini 2.5 Flash Preview 05-20
May 20, 2025
Text

?
Prompt

Generate 5 jokes. How many are unique?

Gemini 2.5 Flash Preview 05-20
Response

gemini-2.5-flash-preview-05-20 logo
Gemini 2.5 Flash Preview 05-20Stochastic Consistency Test
gemini-2.5-flash-preview-05-20 logo
Gemini 2.5 Flash Preview 05-20

Here are 5 jokes for you:

  1. Why don't scientists trust atoms? Because they make up everything!
  2. What do you call a fake noodle? An impasta!
  3. Why did the scarecrow win an award? Because he was outstanding in his field!
  4. I told my wife she was drawing her eyebrows too high. She looked surprised.
  5. What's orange and sounds like a parrot? A carrot!

Out of these 5 jokes, all 5 are unique. Each one has a different premise and punchline.

Stochastic Consistency Test

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

Auto NotesTranscriptNarrateVideo Cut

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

About Gemini 2.5 Flash Preview 05-20

Capabilities

ConversationReasoningCode GenerationAnalysis

Categories

TextCodeImage

Specifications

Provider
Google
Released
2025-05-20
Size
MEDIUM
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 Flash Preview 05-20 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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