Model

Gemini 2.5 Flash Lite

Test

Dialogue tags

Scenario

Write 500 words with 70% dialogue

Run ID

2025-11-18-01KACP3K14APVWAZG1A7DX05VR

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
“Right, so the target,” Molly whispered, her voice barely audible over the distant scream of a child gleefully unwrapping something shatterable, “is located approximately two hundred yards past that monstrosity of a bouncy castle. Codename: Operation Gilded Gift.” Bill squinted, his face illuminated by the flickering fairy lights. “You’re sure about this, Mol? It’s a *baptism of noise* in there. And tiny humans. Lots of tiny humans.” “That’s the beauty of it, Bill. They’re distracted. Focused on sugary delights and the existential dread of waiting for their turn on the slide. Perfect cover.” Molly consulted a crumpled napkin. “According to intel, the pièce de résistance, little Timmy’s undoubtedly ill-gotten gains, are all consolidated on a single table, right by the cake.” “The cake,” Bill mused, rubbing his chin. “Always the cake. Do you think Timmy’s parents are seasoned gift-guardians? Any booby traps? Maybe a strategically placed glitter bomb?” “Highly doubtful. Their primary concern will be preventing a sugar-induced meltdown. The presents are merely secondary to the immediate crisis of *too much fun*. Our window is during the ‘Happy Birthday’ rendition. Maximum attention divergence.” Molly unfolded a small, stained map of what appeared to be a garden. “Entry point is through Mrs. Henderson’s prize-winning petunias. She’s notoriously afraid of spiders, so a quick rustle and she’ll be barricaded inside with a can of Raid.” “Petunias. Lovely. My knees are already protesting. And what about the…the *festivities*? The games? I’m not exactly agile enough to win a sack race anymore.” Bill shuddered. “Last time I tried, I ended up with a dislocated shoulder and a reputation for being ‘that weird uncle who always cheats’.” “You won’t be participating, Bill. You’ll be the extraction specialist. Once I’ve assessed the bounty, I’ll signal. You’ll be stationed by the shed, where I assume you’ve stashed the getaway vehicle.” “Ah yes, the getaway vehicle. My trusty shopping trolley, cleverly disguised as an abandoned garden gnome collection.” Bill grinned. “It’s still got that squeaky wheel, which adds a certain…musicality to our hurried departures. Very avant-garde.” “Just try not to attract too much attention. Remember the Great Hamster Hoopla deb—” “Okay, okay, I remember. The hamster was unexpectedly agile. And I didn’t *plan* for it to end up in Mayor Thompson’s toupee.” Bill winced. “This time, it’s just presents. No live creatures allowed.” “Exactly. Minimal collateral damage. And maximum profit. I’ve got my eye on that rumoured Lego Millennium Falcon. Priceless, I tell you.” Molly’s eyes gleamed. “Imagine the possibilities, Bill. We could finally afford that solid gold hamster wheel we’ve always dreamed of.” “For you, Mol. For you. I’m more of a practical man. Perhaps a slightly less squeaky shopping trolley.” Bill sighed. “You know, I have a sneaking suspicion that Timmy might have a particularly well-behaved golden retriever who’s surprisingly good at fetch. Just a thought.” “Don’t get cute, Bill. Operation Gilded Gift is go. Now, about your disguise…” Molly eyed Bill’s tweed jacket. “Are you sure a suspiciously large pile of party balloons isn’t going to draw too much attention?”
created_at"2025-11-18T23:51:59.011384+00:00" Tuesday, November 18th, 2025 at 11:51:59 PM GMT+00:00
model"google/gemini-2.5-flash-lite" 
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency267
moderation_latency(null)
generation_time3899
tokens_prompt68
tokens_completion737
native_tokens_prompt67
native_tokens_completion762
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" 
usage0.0003115
api_type"completions" 
id"gen-1763509914-1mKHt9vRMyb5h1XbKfZu" 
upstream_id(null)
total_cost0.0003115
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio" 

Evaluation details

Result Evaluator Details Meta Data
86.3803% Matches word count n/a
neededCleanfalse
words511
0.0000% Dialogue to Total Word Ratio
Ratio: 87.08%, Deviation: 17.08%
neededCleanfalse
wordsTotal511
wordsDialogue445
43.1902%