Run: 2026-07-25-01KYCT5ZQSTE0JA17QGKC1X1QF

Run Details

Duration:
3.6s
Cost:
$0.001205
Provider:
Google AI Studio

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 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
Molly slapped the laminated blueprint of the community center against the greasy laminate table and adjusted her stolen clown nose. Bill squinted at the crayon drawing through his bifocals while chewing nervously on a string cheese he had filched from a kindergarten backpack earlier that morning. Look at the perimeter security Bill. It is impenetrable. Are those stick figures supposed to be the pugs or the toddlers. That is the elite squad of six year olds guarding the pile of wrapped loot. They are jacked up on juice boxes and pure unadulterated chaos. Well I am not scared of a bunch of kids who still wet their beds. You should be. They have glitter cannons and zero regard for human safety. Remember what happened at the petting zoo heist. That was a tactical goat retreat and you know it. You accidentally set off a smoke bomb inside a bouncy castle. We were trapped in a pastel vinyl dimension for forty five minutes. We emerged victorious. We emerged smelling like sweaty feet and melted cheese puffs. Now focus. We drop in through the skylight, bypass the pinata trap, and secure the loot before the clown arrives. What if the clown is already inside. Then we improvise. I brought the laughing gas and you brought the folding chair. I thought you said this was going to be a quiet infiltration. There is nothing quiet about stealing Thomas the Train playsets from heavily caffeinated infants. Do you even know how we are going to fence forty boxes of Magna Tiles. We sell them to the desperate parents in the neighboring suburb whose kids missed out on the party. Capitalism waits for no man Bill. Especially not a man wearing size fourteen polka dot shoes. Why do I always have to wear the shoes. Because your feet are the size of canoes and it fits the disguise. Now synchronize your Timex watches. We strike at two hundred hours. Right when the sugar crash hits. Should we bring juice boxes for ourselves. Only if they are organic. I refuse to commit grand larceny while consuming high fructose corn syrup. It is against my professional code. You have a professional code for stealing from toddlers. Of course I do. I am a gentleman criminal not a monster. Now hand me my crowbar and let us go ruin some childhoods.
created_at"2026-07-25T14:17:04.002Z" 7/25/2026, 2:17:04 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency282
moderation_latency(null)
generation_time3001
tokens_prompt75
tokens_completion574
native_tokens_prompt67
native_tokens_completion474
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier"default"
usage0.0012051
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"YMVkauuRKN2ijMcPtNWg8As"
is_byokfalse
latency282
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784989024-npWi7uSfZd2PPFaQMXdG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784989024-IrdcwmIDHHsbI0cXzzLw"
upstream_id"YMVkauuRKN2ijMcPtNWg8As"
total_cost0.0012051
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words393
0.00% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 50.00%
neededCleanfalse
wordsTotal393
wordsDialogue0
0.0000%