Run: 2026-07-08-01KX1KK8ET5906E262G5KWE7KN

Run Details

Duration:
4m 26s
Cost:
$0.081690
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.06% Dialogue to Total Word Ratio (details)
99.5291% 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
Molly and Bill lurked in the shadows of a hedge overlooking the brightly lit backyard where a children's birthday party was in full swing. Pink and blue balloons danced in the evening breeze and the sounds of excited squeals and a slightly off-key rendition of Happy Birthday drifted over. For these two bumbling thieves specializing in comedic heists this was their next target all the presents piled high on a decorative table. Molly checked her watch and then turned to Bill with a mischievous grin. "Bill, this is our big score. Imagine walking away with every present under that tent. We'll finally afford nice tools instead of rubber ones." Bill scratched his head. "But Molly, how do we even get past all those kids without starting a food fight or something? They'll notice missing baubles immediately." "Simple. I go as the face painter, you as the balloon guy. While they're distracted posing for photos or losing air pressure, we load the gifts into my magic vanishing cart and chocolate-drop out." "Sounds messy. What if the parents call the police about the disappearing clown?" Bill replied nervously. "Then we have cake face as disguise. Come on, let's refine the piñata diversion next." "Perfect idea with the piñata. I'll smash it from afar using a remote control car, scattering candy everywhere while you snag the stack," Molly added. Bill pondered and said, "Won't that attract attention to the gifts table though? Need better exit strategy like rolling out on a bounce house deflation." They spent the next minutes outlining every ridiculous detail. Molly envisioned meandering through guests distributing kingdom candy that somehow sticky-fingers the loot to them. Bill suggested weaponizing whoopie cushions to create chaos and cover their exit via a sliding board made of wrapping paper. Laughter mixed with their grim determination to pull off the ultimate party crash caper. The glowing house lights made the stolen treasure shine in their minds each wrapped box holding potential riches from toys to gift certificates. As crickets chirped a soundtrack to their plotting the pair high-fived hearts set on turning celebration into confiscation comedy style. No guard dogs no lasers just pure family festivity vulnerability where balloons burst cover for bagging. Their history of flops fuelled this risk knowing failure meant sticky fingers literally but success a quiet chuckle at the next pawn shop. Preparing costumes from thrift finds nearby they whispered last plans then headed closer ready for the heist of childish proportions. The night promised twists of laughable proportions as thieves eyed cakes and gifts alike. To ensure nothing went wrong they rehearsed the sequence several times in whispered tones counting the steps from hedge to table and evaluating the wind direction for confetti use. Additional backups included fake mustaches and oversized shoes for quick character changes in case parents got suspicious of the odd entertainers. Bill double-checked imaginary blueprints of the yard noting obstacles like swing sets and sandboxes that could hinder a hasty retreat. Molly smiled at their shared absurdity.
created_at"2026-07-08T19:34:38.304Z" 7/8/2026, 7:34:38 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency100757
moderation_latency(null)
generation_time255533
tokens_prompt77
tokens_completion3936
native_tokens_prompt267
native_tokens_completion13590
native_tokens_completion_images(null)
native_tokens_reasoning12981
native_tokens_cached256
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"completed"
service_tier"default"
usage0.08169
router(null)
provider_responses
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endpoint_id"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
is_byokfalse
latency420
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status(null)
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endpoint_id"78a73286-52c4-4d1d-9d13-c1870c25b143"
id"54fc1fec-7535-9453-b8c4-e404d93d5e6f"
is_byokfalse
latency100
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783539278-Fk4cwAQnVJv4s3JRXNQm"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783539278-UxqF7VAoPG0FAqe3eAKn"
upstream_id"54fc1fec-7535-9453-b8c4-e404d93d5e6f"
total_cost0.08169
cache_discount0.000384
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words501
99.06% Dialogue to Total Word Ratio
Ratio: 30.43%, Deviation: 0.43%
neededCleanfalse
wordsTotal506
wordsDialogue154
99.5291%