Run: 2026-05-01-01KQHQE5JMHAPYQNKWQD085P3S

Run Details

Duration:
13.5s
Cost:
$0.001898
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
21.68% Dialogue to Total Word Ratio (details)
57.6627% 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 ridiculous clown wig and glared across the bakery table at Bill, who was halfway through a stolen cupcake. “This is the dumbest thing we’ve ever done, and we once robbed a funeral in tap shoes. A children’s party, Bill? We’re stealing presents from toddlers?” Bill licked frosting off his thumb with theatrical dignity. “First of all, they’re not toddlers, they’re six. Practically adults. Second, that’s ageist. Third, that new animated possum movie made a mint. Every kid in that house got the deluxe Possum Palooza gift set. We fence thirty of those, we’re golden.” Molly pinched the bridge of her nose. “We’re breaking into a bouncy castle, William. A literal bouncy castle. There will be face paint. There will be a petting zoo. There will be at least one screaming child who thinks I’m hired entertainment.” “Exactly,” Bill said, tapping the blueprint he’d drawn on a napkin. “You go in as Coco the Clown. I’ll be Professor Whiskers the Magician. We do ten minutes of half-decent tricks, then while the little gremlins are mesmerized by my disappearing handkerchief routine—which is objectively brilliant—you slip into the gift room.” Molly stared at him. “You want me to perform? I juggle like a drunk octopus.” “You exaggerate. You juggle like a sober octopus with commitment issues. Look, the parents booked a two-man act that canceled last minute. We’re filling in. It’s perfect. We mingle, we steal, we escape in the ice-cream truck I borrowed.” “You borrowed an ice-cream truck?” “Details,” Bill said, waving a hand. “It only plays the theme from Jaws, but kids love that now. Trauma’s trendy.” Molly leaned forward. “Bill, if we get caught on camera stealing Barbie Dreamhouses from crying kindergartners, we’ll be more famous than the Tooth Fairy heist of ’09. And not in a good way.” Bill grinned. “First, we’re not stealing the Barbies. We’re stealing the limited-edition glowing Possum Pals that cost two hundred bucks each. Second, I’ve already bribed the DJ to play ‘Macarena’ on loop. Mass hysteria will cover our exit. Third, I bought party hats with hidden compartments. Very tasteful. Very criminal.” Molly was quiet for a moment, then sighed the sigh of a woman who knew she was about to commit felony vandalism on a bounce house. “Fine. But if a single child calls me ‘silly clown lady’ I’m aborting the whole thing and framing you for the Great Cupcake Massacre of last Tuesday.” Bill offered her half a cupcake in solidarity. “That’s the spirit. Now help me rehearse my rabbit-out-of-hat routine. The rabbit’s union rep says I’m not motivational enough.” Molly took the cupcake and pointed a finger at him. “One condition. We leave the piñata alone. I have morals, Bill.” “Define morals,” he said, already sketching clown noses on the napkin. “Anything that doesn’t involve beating woodland creatures with sticks in front of weeping six-year-olds.” Bill considered this. “Fair. We’ll only steal the presents. The moral high ground is ours.” Molly muttered, “We’re going to hell,” but she was smiling as she said it.
created_at"2026-05-01T12:15:25.786Z" 5/1/2026, 12:15:25 PM
model"x-ai/grok-4.20-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1210
moderation_latency(null)
generation_time13471
tokens_prompt77
tokens_completion847
native_tokens_prompt182
native_tokens_completion695
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native_tokens_reasoning0
native_tokens_cached64
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num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0018978
router(null)
provider_responses
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endpoint_id"3ecee37f-b217-4093-87fb-aaf0afe307af"
id"9cc86735-dc64-e474-2d41-043e5ca61463"
is_byokfalse
latency673
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-1777637725-btAxGPd9uhKHhRVuifwC"
session_id(null)
api_type"completions"
id"gen-1777637725-RbM0ZVtoEi4Tc4jzAPKp"
upstream_id"9cc86735-dc64-e474-2d41-043e5ca61463"
total_cost0.0018978
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
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Evaluation details

Result Evaluator Details Meta Data
93.65% Matches word count n/a
neededCleanfalse
words509
21.68% Dialogue to Total Word Ratio
Ratio: 75.53%, Deviation: 5.53%
neededCleanfalse
wordsTotal519
wordsDialogue392
57.6627%