Run: 2026-02-20-01KHY9GF9YAM5GBJQ6NWQRXR66

Run Details

Duration:
9.7s
Cost:
$0.000050
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
0.08% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0424% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 faintly of stale pizza and desperation. Molly tapped a chipped fingernail against the flyer for Timmy’s 7th Birthday Bash. “Okay, so ‘Magical Unicorn’ theme. Truly terrifying.” Bill, meticulously polishing a pair of oversized sunglasses, grunted. “Distraction level: maximum. Parents will be busy capturing sparkly chaos for Instagram. Perfect.” “Right. Operation Gift Grab is a go. You handle the balloon animal wrangling – divert attention, general silliness.” “Me? Wrangling?” Bill protested, nearly dropping his sunglasses. “I’m a professional! I specialise in… logistical support.” “Logistical support includes looking like you belong, Bill. A grown man lurking suspiciously near a bouncy castle raises eyebrows.” “Fine, fine. Balloon animals it is. But I’m drawing the line at face painting.” “Deal. Remember, we’re in and out. No lingering for cake. The presents are the priority.” “Of course, the presents. Think of the resale value on a limited-edition Robo-Rex. It’s basically an investment.” Bill gave a wicked grin. "Just imagine Timmy's face." Molly sighed. “Let’s just focus on *not* getting arrested, Bill.”
created_at"2026-02-20T19:47:57.894Z" 2/20/2026, 7:47:57 PM
model"google/gemma-3-27b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency405
moderation_latency(null)
generation_time9556
tokens_prompt93
tokens_completion329
native_tokens_prompt75
native_tokens_completion272
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"
usage0.00004952
router(null)
provider_responses
0
endpoint_id"8f22002c-c045-446f-a1b9-9896133536b8"
id"chatcmpl-RA5xYb6hh1g2NK6BuW8Tx7uc"
is_byokfalse
latency60
model_permaslug"google/gemma-3-27b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771616877-PFWeE2JJZ2URA6wXmPBE"
upstream_id"chatcmpl-RA5xYb6hh1g2NK6BuW8Tx7uc"
total_cost0.00004952
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.08% Matches word count n/a
neededCleanfalse
words171
0.00% Dialogue to Total Word Ratio
Ratio: 73.68%, Deviation: 23.68%
neededCleanfalse
wordsTotal171
wordsDialogue126
0.0424%