Model

Gemini 2.5 Flash Lite

Test

Dialogue tags

Scenario

Write 500 words with 70% dialogue

Run ID

2025-11-18-01KACPCY224G8676PQ3D6W4NR8

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
“Are you absolutely sure about this, Molly?” Bill whispered, his voice a gravelly rustle of nerves. Molly adjusted her oversized sunglasses, even though they were currently crouched behind a particularly aggressive-looking garden gnome. “Bill, my dear boy, this is not just a heist. This is… a reclamation.” “Reclamation implies something was taken from us first. I distinctly recall you just *really* wanting that giant inflatable unicorn that’s probably in the master bedroom.” “Details, details! The point is, that party is overflowing with potential. Think of the haul!” Molly gestured wildly with a plastic cocktail umbrella. “Imagine: a mountain of action figures, video games, a dollhouse that probably has working electricity…” “And a room full of screaming toddlers who will absolutely not understand why their Santa loot is vanishing into a suspiciously large tote bag carried by a woman in a sparkly tracksuit.” Bill wrung his hands. “That’s the part that’s making my palms sweat. The collateral damage. The… future therapy bills.” “Nonsense! We’ll be like the wind, Bill. A very well-prepared, slightly grubby wind.” Molly pulled a crumpled blueprint from her pocket. “See? Entry points. The French doors are our primary target. Child’s play. Literally.” “They’re probably going to have a bouncy castle. Which means… air. And noise. And very small, very enthusiastic projectiles aimed at our heads.” Bill shuddered. “Remember the Easter egg hunt incident?” “That was a rogue robin and a misunderstanding about the word ‘golden’. This is different. This is a carefully orchestrated operation.” Molly tapped the blueprint. “We go in during the cake portion. Maximum distraction. Everyone’s face will be buried in frosting.” “And what, may I ask, is your exit strategy when a swarm of sugar-crazed seven-year-olds discovers their LEGO sets are missing?” “We’ll be long gone, Bill. Out the back, through the rose bushes. They won’t see us coming. They’ll be too busy arguing over who gets the last slice of fondant.” Bill sighed, a gust of exasperation. “These are children, Molly. They have the attention span of a squirrel on caffeine. They’ll notice. They’ll cry. Their parents will call the police. And then what? We’re caught, covered in cake crumbs, with a stolen collection of He-Man figures.” “Only if we’re caught without a solid alibi. Which is why,” Molly winked, producing a handful of brightly coloured balloons, “we’re going in disguised as party entertainers.” Bill stared. “You’re going to dress as a clown?” “Not a clown! A ‘magical assistant’. Think less Bozo, more ‘enigmatic stagehand with a penchant for pilfering’.” “And I’m? The rabbit?” “You, my boy, are the ‘sparkling confetti cannon operator’.” Molly shoved a balloon into his hand. “Just… try not to set anything on fire with your sheer panic.” “This is going to be a disaster,” Bill muttered, staring at the deflated balloon. “Or,” Molly countered, a mischievous glint in her eye, “it’s going to be the greatest children’s party gift-grab in history.”
created_at"2025-11-18T23:57:04.935883+00:00" Tuesday, November 18th, 2025 at 11:57:04 PM GMT+00:00
model"google/gemini-2.5-flash-lite" 
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency309
moderation_latency(null)
generation_time3292
tokens_prompt68
tokens_completion684
native_tokens_prompt67
native_tokens_completion714
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/" 
is_byokfalse
finish_reason"stop" 
native_finish_reason"STOP" 
usage0.0002923
api_type"completions" 
id"gen-1763510220-bLeB0zcGV3B0Zp9QeXG1" 
upstream_id(null)
total_cost0.0002923
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio" 

Evaluation details

Result Evaluator Details Meta Data
90.4837% Matches word count n/a
neededCleanfalse
words490
0.1837% Dialogue to Total Word Ratio
Ratio: 81.22%, Deviation: 11.22%
neededCleanfalse
wordsTotal490
wordsDialogue398
45.3337%