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Run: 2026-09-02-01M1H5HR92HEGFM75FT119521B
Run Details
Model:
Z.AI GLM 5.3 Flash (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
32.7s
Cost:
$0.000181
Provider:
Z.AI
Evaluation summary
Score
Evaluator
Details Link
60.28%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
30.1376%
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
Messages
Meta
AI
Molly unrolled the blueprint across the hood of the van, weighing down the corners with two stale burritos and a brick of counterfeit sparkler packets. The building on the page was innocent enough, a community recreation center decorated with balloons in the architect's rendering, which really undersold the crime about to happen. Bill chewed his toothpick and squinted. "That's a bounce house." "It's a security obstacle." "It's a bounce house, Molly. With children in it." "Not at two a.m. it won't be." She tapped the floor plan. "Birthday party starts Saturday noon. Forty presents, minimum, judging by the RSVP list I photographed from the mom's fridge. The mom buys in bulk. This is a whale, Bill." "A whale made of toys for eight-year-olds." "Toys worth eleven hundred dollars, retail. And there's a bike. A purple bike with a basket shaped like a strawberry." Molly's voice went soft with greed. "That bike alone flips for two grand to the right collector." Bill removed the toothpick. "What collector of strawberry bikes exists?" "You'd be surprised. There's a whole eBay subculture. It's very sad and very lucrative." He studied the blueprint, hating that his heart rate had gone up. "Okay. Walk me through it." "Service entrance, behind the kitchen. Old lock, older than your excuses for missing my last three jobs. We're in by two, out by three, and the presents go into the van dressed as very large laundry." "Whose laundry is four feet by six feet and ribboned?" "Nobody launders ribbons, Bill, that's the beauty of it." He rubbed his eyes. "The dog. There's always a dog." "Golden retriever. Named Biscuit." She pulled a ziplock of freeze-dried liver from her jacket. "Biscuit and I have an understanding already." "You've been visiting the dog." "I've been building trust. Professionally." "With a dog." "With the whole ecosystem, Bill. That's why they call us professionals." She pointed at the window marked on the plan. "One camera, and it's fake. The center cheaped out after the great punch bowl theft of last spring." "You stole the punch bowl." "I recirculated the punch bowl. There's a difference, morally." Bill paced three steps of the parking lot, which was as much pacing as the lot allowed. "Say we do this. Say we're the kind of people who rob a birthday party. What about the kid?" Molly paused, and for one shameful second something flickered behind her eyes, possibly a conscience, possibly gas. Then she said, "Kid's turning nine. Nine-year-olds have the shortest memory spans of any demographic except goldfish. Present goes missing, kid cries, aunt buys a replacement by Sunday. We're basically a simulative economic pressure." "That's not a thing." "It's a thing I just invented, which is how progress works." Bill sighed the sigh of a man already wearing gloves. "Fine. But if the strawberry bike doesn't sell, I'm keeping it. For my niece." "You don't have a niece." "I'm getting one. In this economy, you invest in family infrastructure." Molly rolled up the blueprint and grinned. "That's the ugliest justification I've ever heard. I'm putting it on the crew T-shirt."
created_at
"2026-09-02T13:39:47.115Z"
9/2/2026, 1:39:47 PM
model
"z-ai/glm-5.3-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5711
moderation_latency
(null)
generation_time
32678
tokens_prompt
75
tokens_completion
809
native_tokens_prompt
73
native_tokens_completion
716
native_tokens_completion_images
(null)
native_tokens_reasoning
10
native_tokens_cached
64
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.000180635
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788356387-HBpyHqRXqne6d9BE8L2K"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788356387-JR67UWGBy3eT8TVXCjCe"
upstream_id
"20260902213947823e1de8c2084088"
provider_responses
0
endpoint_id
"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id
"20260902213947823e1de8c2084088"
is_byok
false
latency
5709
model_permaslug
"z-ai/glm-5.3-flash-20260826"
provider_name
"Z.AI"
status
200
total_cost
0.000180635
cache_discount
0.00000768
upstream_inference_cost
0
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
60.28%
Matches word count
n/a
neededClean
false
words
515
0.00%
Dialogue to Total Word Ratio
Ratio: 68.65%, Deviation: 38.65%
neededClean
false
wordsTotal
520
wordsDialogue
357
30.1376%