Run: 2026-05-01-01KQHR79V2M0R97RAKQQZ174N1

Run Details

Duration:
4.7s
Cost:
$0.000818
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.6885% 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
Molly adjusted her fake clown nose and grinned at Bill across the rickety card table. “Okay, genius. We hit the bouncy castle at exactly three-fifteen, right when the magic show starts. Kids’ll be hypnotized by the rabbit, presents completely unguarded.” Bill scratched his beer gut. “Molly, we’re robbing six-year-olds. My mother still won’t speak to me.” “Your mother stole your childhood joy, Bill. We’re just redistributing it. Besides, I already bought the getaway ice-cream truck.” “You bought a vehicle that plays ‘Pop Goes the Weasel’ on a loop?” “Kids love it. Cops hate it. Perfect misdirection.” She tapped the crudely drawn map. “You shimmy up the slide, I’ll work the balloon-animal distraction. If anyone asks, you’re a very tall, very sweaty princess.” “I’m not wearing the tiara again.” “Last time you complained you still kept the sparkly one.” “That was for the pawn shop, not emotional closure.” Bill sighed. “Fine. But if we get caught, I’m telling the parents you made me do it.” Molly smirked, sliding him a tiny party hat. “Wear the hat, Bill. We strike at cake time. Nobody guards presents when there’s ice cream cake.” “God help us,” he muttered, adjusting the elastic. “We’re going to hell in a bouncy house.”
created_at"2026-05-01T12:29:09.351Z" 5/1/2026, 12:29:09 PM
model"x-ai/grok-4.20-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency335
moderation_latency(null)
generation_time4658
tokens_prompt77
tokens_completion353
native_tokens_prompt182
native_tokens_completion290
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached128
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"
usage0.0008181
router(null)
provider_responses
0
endpoint_id"3ecee37f-b217-4093-87fb-aaf0afe307af"
id"cce40c07-4976-9ab7-9343-874595363241"
is_byokfalse
latency96
model_permaslug"x-ai/grok-4.20-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777638549-705yehB5d7lUk7KYzSR7"
session_id(null)
api_type"completions"
id"gen-1777638549-5GcrNLYz56ZRZNbD5ozL"
upstream_id"cce40c07-4976-9ab7-9343-874595363241"
total_cost0.0008181
cache_discount0.0001344
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words205
0.00% Dialogue to Total Word Ratio
Ratio: 80.48%, Deviation: 30.48%
neededCleanfalse
wordsTotal210
wordsDialogue169
49.6885%