Run: 2026-02-20-01KHY7SHRAGH305B6065C58FSR

Run Details

Duration:
16.3s
Cost:
$0.000102
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
48.8138% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
The community hall smelled overwhelmingly of sugar and disappointed dreams. Molly wrinkled her nose, surveying the scene. Balloons in primary colours bobbed against the ceiling, streamers drooped like defeated party poppers, and a suspiciously large bouncy castle dominated one corner. It was, in essence, a five-year-old’s fever dream made real. “So,” Bill said, tugging at his ill-fitting tweed jacket, “Operation Glitter Bomb is a go?” Molly adjusted her oversized sunglasses, even though the hall was dimly lit. “Glitter Bomb. Really, Bill? That's the best you could come up with? It sounds like a rejected middle school dance theme.” “Hey! It’s memorable! And it rhymes!” He puffed out his chest, then immediately deflated. "Look, the point is, we’re in. We’re going to waltz in, blend in, and liberate all those gifts." “Liberate? You mean steal. Let’s be honest. 'Liberate' sounds like we're rescuing teddy bears from a tyrannical toy manufacturer.” Molly’s gaze scanned the room, calculating. A mountain of wrapped presents, stacked precariously near the stage, practically vibrated with potential. “Okay, the plan. I’m going for distraction. I’ll pose as… a children’s entertainer. Think slightly unhinged puppeteer meets slightly confused magician.” Bill blinked. “You? A children’s entertainer? You once scared a poodle just by looking at it.” “Details, details! I've watched YouTube. I learned a magic trick. *Ta-da!* I can make a coin disappear.” She snapped her fingers with questionable enthusiasm. “While I'm captivating the tiny humans – hopefully with something more engaging than a vanishing coin – you sneak over to the present pile and… redistribute them into our possession.” "Redistribute," Bill repeated, mimicking her earlier tone. "Right. And how do I redistribute a mountain of presents without, you know, looking like I'm redistributing a mountain of presents?” “You’re wearing a delivery driver’s uniform, Bill. A ridiculously oversized one. You’ll look like you’re delivering them to… a very happy, very excessively gift-receiving child. Trust me, they won't question it. Five-year-olds are easily distracted by anything remotely shiny or remotely resembling chocolate.” “And what if they ask why I’m delivering all these presents to… nobody?” “Improvise! Say you’re testing the hall’s carrying capacity. Or that you’re part of a very unusual logistical experiment.” Molly tapped her chin. “Or tell them you’re a gift fairy. They love gift fairies.” Bill groaned. "A gift fairy? I’ll die of embarrassment.” "You'll be significantly richer than you would be if we didn’t do this," Molly countered, a glint in her eye. “Besides, I've got a sparkly hat for the occasion. It's really quite fetching." She produced a truly hideous, sequined hat from her bag and held it up. Bill stared at it, speechless. "Put it on! See? Instant fairy credibility!" He reluctantly accepted the hat, wincing. "Alright, alright. But if I'm stopped by a particularly astute five-year-old, I’m blaming you." "Just remember the key, Bill: confidence. We are not thieves. We are… logistical benefactors.” Molly grinned. "Now, let's go liberate some presents."
created_at"2026-02-20T19:17:58.169Z" 2/20/2026, 7:17:58 PM
model"google/gemma-3-12b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency128
moderation_latency(null)
generation_time16195
tokens_prompt93
tokens_completion863
native_tokens_prompt75
native_tokens_completion763
native_tokens_completion_images(null)
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"
usage0.00010219
router(null)
provider_responses
0
endpoint_id"eb06dc92-5a16-47ec-a776-6ef956457c47"
id"chatcmpl-R1siJeOhSRJrIFGs0YhzvZRN"
is_byokfalse
latency54
model_permaslug"google/gemma-3-12b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771615078-NJ7qxPEJckxtl3CEOVp5"
upstream_id"chatcmpl-R1siJeOhSRJrIFGs0YhzvZRN"
total_cost0.00010219
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words493
0.00% Dialogue to Total Word Ratio
Ratio: 68.36%, Deviation: 38.36%
neededCleanfalse
wordsTotal493
wordsDialogue337
48.8138%