Run: 2026-09-02-01M1GSYN4TFSCKEDK1QAHAJ3KK

Run Details

Duration:
5m 52s
Cost:
$0.004343
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
96.36% Dialogue to Total Word Ratio (details)
98.1696% 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 the street from Hendricks Park, both occupants pretending to eat sandwiches. On the far side of the fence, the target was in full swing: a children's birthday party, balloons on every post, a bouncy castle the size of a small nation, and a folding table stacked with wrapped presents like a dragon's hoard of very small, very cheerful gold. Molly unfolded her blueprint across the dashboard — hand-drawn, colored in, labeled CASTLE BOUNCINGTON, with a little flag on top. Bill studied it for a long, troubled moment. "This is a bounce house," he said. "It's a castle, Bill. Get your head in the game." Bill accepted this and took out his notebook, the same one from the museum job. Molly walked him through the layout: gift table at the east end, exits, the clown. "Guard rotation?" Bill asked. "One clown. Mr. Wiggles. He keeps the whole take in a red bag until the piñata ceremony at three." "What's a piñata ceremony?" "It's when the children beat a paper donkey with sticks until candy falls out. Recon is recon." Bill wrote DONKEY RITUAL and underlined it twice, which meant it would appear in the final plan whether anyone wanted it there or not. Molly had learned to manage him early. The window was the conga line at half past two, when every child on the lawn would be holding the ankles of the child ahead of them. Molly would slip through the moonbounce's emergency flap, where the presents sat within arm's reach of the bag. For the clown, she had something special. She reached into the back of the van and produced the pony costume: four legs of crushed velvet, a mane like a haunted wig, and an expression of permanent apology stitched into its enormous face. "I thought we agreed the pony costume was a work injury, not an assignment," said Bill. Molly reminded him that they had agreed it was a tragedy, and tragedies were opportunities. "The petting zoo is down a member," she said, "and that member is you." "The mascot. You're asking me to be the mascot." "I'm asking you to be a distraction with hooves. Mr. Wiggles can't resist new livestock." Bill chewed his pencil. His eyebrows did the thing they did when his conscience woke up from its nap. "The plan is stealing presents from children," he said, "at a birthday party." "The plan is redistributing joy from people who own a bounce castle to two professionals whose rent is due." Bill looked at the costume. The costume, somehow, looked back. Out on the lawn, Mr. Wiggles honked his horn at nothing, vigorously, like a professional. "Ninety seconds," said Molly. "Ninety seconds." "If Mr. Wiggles hugs me, I'm out." "Nobody hugs a stranger pony, Bill." Bill sighed the sigh of a man who had already lost, and began putting on the front half of the pony. Somewhere across the fence, thirty children screamed with joy at nothing at all.
created_at"2026-09-02T10:17:06.979Z" 9/2/2026, 10:17:06 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4610
moderation_latency(null)
generation_time351792
tokens_prompt75
tokens_completion15508
native_tokens_prompt73
native_tokens_completion17366
native_tokens_completion_images(null)
native_tokens_reasoning16721
native_tokens_cached64
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)
usage0.004343135
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788344226-Rzzz7UPM6fXq9R4PKekc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788344226-ii3irlbQHDb58RtAS9PH"
upstream_id"20260902181707b96a7eb8fc294408"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902181707b96a7eb8fc294408"
is_byokfalse
latency4610
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.004343135
cache_discount0.00000768
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
99.98% Matches word count n/a
neededCleanfalse
words498
96.36% Dialogue to Total Word Ratio
Ratio: 30.86%, Deviation: 0.86%
neededCleanfalse
wordsTotal499
wordsDialogue154
98.1696%