Run: 2026-09-02-01M1GTE5TC1HXR68M75CNNNH0V

Run Details

Duration:
3m 39s
Cost:
$0.002863
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
97.80% Dialogue to Total Word Ratio (details)
70.5903% 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
The surveillance van sat across from the Maplewood Community Center, engine ticking, windows fogged except for two portholes Molly had wiped with surgical precision. On her lap sat a binder labeled OPERATION SUGAR RUSH, tabbed by phase, laminated against juice. Inside were floor plans of a room with one door, one window, and a folding table Molly had designated "the vault," plus photographs of the uncle on grill duty, an aerial sketch of the bouncy castle marked NO-MAN'S-LAND, and a threat assessment of a four-year-old described as "armed with a juice box and zero fear." "Say it out loud one more time," Bill said. "I want to hear how insane it is in your voice." "Two o'clock Saturday, the Delgado boy turns seven. Eleven hundred dollars of merchandise — a drone, a console, a life-size T-Rex taller than your mother — sitting on a card table guarded by an uncle named Darryl." Bill pressed his forehead to the steering wheel. They had once stolen a crown off a moving train, and it had been less complicated than this. He said so. "And this is harder?" He listed the complications. Children, for one. Children scream, and screaming draws parents, and parents call police. "That's why we go during cake. Nobody in history has abandoned cake." She flipped to the threats section: Biscuit, a golden retriever with no discipline; the piñata, which intel suggested had been stuffed with toothbrushes by clever parents; and the balloons, which Bill refused to touch since the incident that Molly had agreed never to mention again. He asked about the dog. "Biscuit's weakness is string cheese. A block will be taped to your forearm." Bill looked at his forearm, then at the ceiling of the van, negotiating with a higher power. He asked why she'd been planning this for three weeks. "Four. I don't do sloppy work. I did sloppy work in Reno, and I still wake up screaming." Then came the masterstroke. Molly reached into the duffel and produced two rainbow wigs, a polka-dot jumpsuit, and two red foam noses. They would enter as the hired entertainment: balloon animals at two forty-five, the table unattended by three, gone by three-ten. Bill noted that he had a law degree. "Not anymore. Today you're Bubbles." He accepted the nose the way a man accepts a subpoena. Outside, guests arrived, and he watched a kid drag a wrapped box nearly his own size up the sidewalk. Something happened to Bill's face, some muscle memory of conscience. "He's seven. He'll cry." "He'll get over it." "He'll cry, and it'll be my fault, and I'll think about it at four in the morning forever." Molly watched the T-Rex plush disappear through the double doors. Something behind her eyes recalculated. "Fine. The T-Rex only. The console stays. And we leave a twenty in the card box." Bill exhaled, a sound like a man pardoned, and asked what she planned to go by out there. "Giggles." He looked at her wig, her dead eyes, her foam nose, and told her it was the most terrifying thing he'd heard all day. "Thank you."
created_at"2026-09-02T10:25:35.573Z" 9/2/2026, 10:25:35 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency816
moderation_latency(null)
generation_time218951
tokens_prompt75
tokens_completion10407
native_tokens_prompt73
native_tokens_completion11431
native_tokens_completion_images(null)
native_tokens_reasoning10745
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(null)
usage0.002863225
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788344735-DLYWg1xBCAJjlzlx1bHy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788344735-wu2T7SJQtTNz73pBLcXa"
upstream_id"20260902182535193d7aa8ab4f4b56"
provider_responses
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endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902182535193d7aa8ab4f4b56"
is_byokfalse
latency816
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.002863225
cache_discount(null)
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
43.38% Matches word count n/a
neededCleanfalse
words517
97.80% Dialogue to Total Word Ratio
Ratio: 30.67%, Deviation: 0.67%
neededCleanfalse
wordsTotal525
wordsDialogue161
70.5903%