Run: 2026-11-11-01M75RBJ0GY88F862D9B4FZGNX

Run Details

Duration:
1m 4s
Cost:
$0.054534
Provider:
Google AI Studio

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.56% Dialogue to Total Word Ratio (details)
99.7794% Overall

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
Molly lowered her binoculars and tapped the blueprint taped to the dashboard of their rusty getaway van. The map of the suburban backyard was drawn entirely in green crayon on the back of a greasy pizza box. "Listen up, Bill, because we only get one shot at the Miller residence," Molly said, her voice deadly serious. "Target is little Timmy’s seventh birthday, and intelligence suggests the gift table is stacked with high-end Danish plastic." Bill adjusted his oversized red foam nose, squinting through the cracked windshield at the pastel balloons swaying down the sunny block. "You mean Legos, Molly? We are risking five to ten in state prison for interlocking building blocks?" "Do you have any idea what the Millennium Falcon set goes for on the secondary market right now? It is untraceable bullion, Bill, liquid gold, plus there are rumors of three Nintendo Switches in that pile." "Fine, walk me through the perimeter defenses, because I see a lot of hostile minivans out there." Molly pointed a chewed pen at a crudely drawn square near the patio. "Entry is through the side gate, right past the catering truck. You go in first as Barnaby the Buffoon to draw aggro from the moms while I slip behind the bouncy castle." Bill frowned, nervously tugging at his ruffled polka-dot collar as sweat beaded on his forehead. "Wait a minute, I don't actually know how to juggle, Molly. What happens when thirty kids hopped up on blue frosting realize I'm a fraud and rush the stage?" "Improvise, you amateur, make a balloon snake or trip over your giant shoes! Buy me four minutes to cut the patio mesh, sweep the loot into laundry sacks, and roll them under the hedges." "What about the guard dog? Your intel said the Millers had a vicious beast patrolling the backyard." "It's a Golden Retriever named Barnaby, which might cause branding confusion with your clown alias, so change your name to Chuckles." "I hate Chuckles, Chuckles sounds like a guy who bites heads off chickens, let me be Professor Giggles." "Be whoever you want, just keep the ankle-biters away from the pergola!" Molly snapped, stuffing a black ski mask into her coveralls. "Once the piñata goes up, chaos ensues. Blindfolded kids swinging wooden sticks means the adults dive for cover, giving us a clean extraction." Bill sighed heavily, picking up a brightly colored plastic horn from the dirty floorboard and giving it a pathetic, wheezing squeeze. "And what happens if Timmy's linebacker dad spots you hauling away three sacks of unwrapped board games?" "Then I deploy the ultimate tactical smokescreen," Molly whispered, patting a silver canister clipped tightly to her utility belt. "Two pounds of ultra-fine craft glitter, straight into the air conditioning intake. They will be vacuuming sparkles until Timmy graduates college." Bill grinned wickedly, the red foam nose bobbing up and down as he gripped the door handle. "Alright, Professor Giggles is officially ready to roll, Molly, so let's go ruin a rich kid's childhood."
created_at"2026-11-11T16:51:44.797Z" 11/11/2026, 4:51:44 PM
model"google/gemini-4-carbon-20261110"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4377
moderation_latency(null)
generation_time63637
tokens_prompt75
tokens_completion2171
native_tokens_prompt97
native_tokens_completion5434
native_tokens_completion_images0
native_tokens_reasoning4770
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier"default"
usage0.054534
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794415904-BtisjVvAw78o4VJkNogI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794415904-QHBNGEsYftxm0I87YRP6"
upstream_id"IZ30aq1OrMXF0g_OmYSgBQ"
provider_responses
0
endpoint_id"f0c9681d-e99b-4bcb-8031-752429da222d"
id"IZ30aq1OrMXF0g_OmYSgBQ"
is_byokfalse
latency4376
model_permaslug"google/gemini-4-carbon-20261110"
provider_name"Google AI Studio"
status200
total_cost0.054534
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words501
99.56% Dialogue to Total Word Ratio
Ratio: 69.70%, Deviation: 0.30%
neededCleanfalse
wordsTotal505
wordsDialogue352
99.7794%