Run: 2026-03-12-01KKHZ8QMQN0SDNY7TGP0X1W5M

Run Details

Duration:
4.0s
Cost:
$0.004250
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0001% 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 adjusted her fake mustache in the rearview mirror of the battered van, peering at Bill who was attempting to squeeze into a too-small clown suit. “Bill, you look like a depressed piñata. We’re not here to entertain the kids; we’re here to liberate the presents. Focus.” Bill tugged at the polka-dot fabric straining across his belly. “Easy for you to say, Molly. You’re dressed as a generic magician. I’ve got to explain why my shoes are size fourteen and squeak like they’re being murdered. Why a children’s party anyway? Couldn’t we rob a bank like normal criminals?” “Because banks have cameras, guards, and those little pens on chains that never work,” Molly said, checking the fake invitation again. “This place has thirty screaming kids, one overwhelmed mom, and a mountain of brightly wrapped loot under a SpongeBob banner. We go in during musical chairs, create a distraction, and walk out with enough Xboxes and Barbies to fund our retirement in the Bahamas.” Bill snorted. “Retirement? With stolen My Little Ponies? I can see the headlines now: ‘Notorious Thieves Foiled by Bubble Wrap.’” “Stop being dramatic. The plan is simple. You burst in as Professor Giggles, the world’s saddest clown. You do that thing where you pretend to cry until all the kids feel sorry for you. While they’re distracted, I slip in as the Amazing Molly, do a few card tricks, and palm the bigger gifts into my cape. We meet back at the van in six minutes flat.” “Six minutes? I can’t even tie these stupid shoes in six minutes.” Bill held up a floppy red shoe that looked like it had been chewed by a lawnmower. “And what if some kid wants a hug? I’m not good with children. Last time I was near one I accidentally taught a toddler how to hot-wire a car.” Molly rolled her eyes. “Then don’t let them hug you. Just honk your nose and look pathetic. Remember, the birthday boy’s name is Timmy. If anyone asks, you’re his uncle from out of town who’s ‘funny.’” “Funny looking, maybe,” Bill muttered. “What’s our exit strategy if the mom gets suspicious? She’s probably one of those helicopter parents with a security app on her phone.” “We blame everything on the dog. There’s always a dog at these things. We’ll say it knocked over the gift table. Then we vanish in a cloud of cheap smoke bombs and poor decisions.” Molly checked her watch. “Look, this is our best score in months. Those presents are worth more than the gold we lifted from that casino last year. Kids get expensive toys these days.” Bill finally managed to zip up the clown suit, though it made an ominous ripping sound around the shoulders. “Fine. But if I have to do the tiny violin routine, you’re buying me nachos after. Real ones, not the kind that come in a bag.” “Deal,” Molly said, grinning as she started the van. “Now let’s go ruin a birthday party like the professionals we are. Just remember: no matter what happens, do not, under any circumstances, actually try to make balloon animals.” Bill sighed heavily. “No balloon animals. Got it. God help us all.”
created_at"2026-03-12T21:29:28.99Z" 3/12/2026, 9:29:28 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency294
moderation_latency(null)
generation_time3881
tokens_prompt77
tokens_completion822
native_tokens_prompt182
native_tokens_completion686
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached128
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0042496
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"45a647dd-60b0-f4c8-505b-d0de56078aab"
is_byokfalse
latency254
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773350968-k005z71r2NiqSyMJr7r9"
upstream_id"45a647dd-60b0-f4c8-505b-d0de56078aab"
total_cost0.0042496
cache_discount0.0002304
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words534
0.00% Dialogue to Total Word Ratio
Ratio: 80.63%, Deviation: 30.63%
neededCleanfalse
wordsTotal537
wordsDialogue433
0.0001%