NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-06-24-01KVX2W3RXC3VTG2ZMXB8WMP33
Run Details
Model:
Z.AI GLM 5.2 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
19.0s
Cost:
$0.003138
Provider:
Z.AI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0000%
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
Messages
Meta
AI
Molly leaned back in the booth and folded her arms. "So let me get this straight. You want us to rob a child's birthday party." Bill stirred his coffee with unnecessary intensity. "I want us to liberate several high-value consumer goods from a suburban residence where they happen to be temporarily unattended due to cake-related distractions." "That's a child's birthday party, Bill." "Semantics." Molly snatched a fry from his plate. "Whose kid is it?" "Does it matter?" "It matters to my soul, Bill." He sighed. "It's the Pemberton kid. Turning seven. You know how much Margaret Pemberton spends on birthdays? She hired a petting zoo. A petting zoo, Molly. There's a llama in that backyard right now." "And you want to steal presents while there's a llama twenty feet away." "The llama is an asset. Llamas are unpredictable. If it goes rogue, that's our window." Molly chewed slowly. "You've been thinking about this for a while." "Three weeks." "Three weeks." "I cased the place during the bouncy castle delivery. That's not weird." "It's extremely weird, Bill." He leaned forward. "Listen. The presents go on a table in the solarium. Solarium faces east. The cake comes out at three fifteen — I know this because Margaret Pemberton is a maniac for scheduling, she posted the whole itinerary on her Instagram. While every adult is corralling sugar-crazed children toward the dining room, we go through the side gate, into the solarium, grab the loot, and we're gone in ninety seconds." Molly stared at him. "You followed Margaret Pemberton on Instagram." "For reconnaissance purposes." "On your personal account." "I may not have thought that part through." "What happens when a seven-year-old walks in and sees two strangers stuffing a Nintendo Switch into a duffel bag?" Bill waved his hand. "That's the beautiful thing about kids. You just say you're the present inspector. They believe anything. I once told my nephew I was an astronaut and he still introduces me that way. I work at a tire store, Molly." "You're a terrible person." "I'm an opportunist. There's a difference." "Is there?" "There is legally, and that's what matters." Molly drained her own coffee and set the cup down hard. "What's the take?" "Conservatively? Four grand in retail. Tablet, gaming console, Lego sets — and Margaret's brother always brings something ridiculous because he's overcompensating. Last year it was a two-hundred-dollar robotics kit." "Fine." Bill blinked. "Fine?" "I'm in. But I want sixty percent." "Fifty." "Sixty. Because when the llama inevitably does something, I'm the one handling the llama." Bill extended his hand. "Deal. But if the llama spits on me, you're buying me a new jacket." "Agreed. But if Margaret Pemberton identifies us from your Instagram follow, you're doing the time alone." "That's fair. That's completely fair."
created_at
"2026-06-24T15:09:43.082Z"
6/24/2026, 3:09:43 PM
model
"z-ai/glm-5.2-20260616"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3091
moderation_latency
(null)
generation_time
18928
tokens_prompt
77
tokens_completion
820
native_tokens_prompt
73
native_tokens_completion
690
native_tokens_completion_images
(null)
native_tokens_reasoning
41
native_tokens_cached
0
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
0.0031382
router
(null)
provider_responses
0
endpoint_id
"442ea97f-ad5e-40d5-b9a6-66e9e0417dce"
id
"20260624230943c4f2fbc6c5d346b1"
is_byok
false
latency
3091
model_permaslug
"z-ai/glm-5.2-20260616"
provider_name
"Z.AI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer
(null)
request_id
"req-1782313783-eoGXlVurJTT8VP78ExRO"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1782313783-mRYIaN4YCNueH2GcOUK9"
upstream_id
"20260624230943c4f2fbc6c5d346b1"
total_cost
0.0031382
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Z.AI"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
460
0.00%
Dialogue to Total Word Ratio
Ratio: 87.79%, Deviation: 17.79%
neededClean
false
wordsTotal
467
wordsDialogue
410
0.0000%