Run: 2026-05-19-01KS0TNVDFT4GSYPR90ZCZKEP3

Run Details

Duration:
48.8s
Cost:
$0.112798
Provider:
Google AI Studio

Evaluation summary

Score Evaluator
Details Link
2.01% Matches word count (details)
67.97% Dialogue to Total Word Ratio (details)
34.9911% 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 adjusted her heavy binoculars, staring through the cracked windshield at the suburban backyard across the street where a giant, neon-pink inflatable castle dominated the lawn. "The target is at optimal capacity, Bill," she whispered, tapping her earpiece. "We have approximately twelve sugar-crazed hostiles currently active on site." Bill took a massive bite of a stale jelly donut, leaving a dusting of white powdered sugar all over his chin and plaid shirt. "Are we talking toddlers or grade-schoolers? Because toddlers are unpredictable, Molly. They bite, and they do not respect rules." "They are first graders. But they are distracted by a struggling magician. The loot is on a folding table near the sliding doors. Wrapped boxes. Big ones." Molly adjusted her dusty lenses, focusing past the screaming kids on the patio. "What is the estimated street value?" Bill asked, leaning over her shoulder to squint through the van glass. "I see three Lego sets, a box containing a motorized scooter, and what appears to be a chemistry set. It is a goldmine, Bill." "Beautiful," Bill muttered, using his sleeve to wipe red jelly onto his jeans. "So, what is the play? Do we go with the smoke bomb in the bounce house?" "Too dramatic. We are using the Trojan Clown approach." "The what?" "You dress as the backup entertainment. I sneak through the side gate disguised as a caterer carrying extremely distracting chicken nuggets." "Wait, why do I have to be the clown?" Bill scoffed, crossing his arms and kicking the dashboard. "And where are we getting a clown suit on ten minutes' notice?" "It is in the trunk. Do not ask questions. You just need to twist three balloon animals, make a scene, and then I sweep the table." "I cannot make balloon animals, Molly. The last time I tried, I popped a sausage dog and had a panic attack." "Then make a balloon worm. It is a straight line. They are six years old, Bill. They have no concept of biological accuracy." "Fair point. But how do we handle the mother? She looks like a hawk in yoga pants." "I have prepared for her. I will drop a glass of white wine near her. It will trigger her cleanup reflex, giving us a thirty-second window. We grab the table and roll." "What about the guard dog?" Bill pointed a thick finger at a tiny, shivering chihuahua wearing a miniature, glittery party hat. "That is not a dog, that is a rat. Toss it a cocktail sausage from the catering tray. It will pledge its loyalty to you instantly." "Okay, I am in," Bill said, reaching into the backseat to lift their heavy duffel bag. "But if I get sticky fingers from fruit punch, I am holding you responsible." "Professionals do not get sticky, Bill. Put on the nose." "This red sponge nose smells like onions." "Just blow the horn and look happy." "I am going to need a raise for this." "We are splitting a Lego Death Star. You are getting paid in plastic gold." "Good enough for me." Bill sighed, pulled the red plastic nose over his face, and opened the door.
created_at"2026-05-19T19:16:21.558Z" 5/19/2026, 7:16:21 PM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1807
moderation_latency(null)
generation_time48672
tokens_prompt77
tokens_completion4569
native_tokens_prompt67
native_tokens_completion12522
native_tokens_completion_images0
native_tokens_reasoning11829
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"standard"
usage0.1127985
router(null)
provider_responses
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endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"BbcMaoS3MIKrqtsPjIyHiAw"
is_byokfalse
latency1807
model_permaslug"google/gemini-3.5-flash-20260519"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779218181-yB883DnD6ZlSvaBsMv5j"
session_id(null)
api_type"completions"
id"gen-1779218181-cq6kj3vf22R5VmTJjHlY"
upstream_id"BbcMaoS3MIKrqtsPjIyHiAw"
total_cost0.1127985
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
2.01% Matches word count n/a
neededCleanfalse
words525
67.97% Dialogue to Total Word Ratio
Ratio: 72.78%, Deviation: 2.78%
neededCleanfalse
wordsTotal529
wordsDialogue385
34.9911%