NC Bench
Overview
About
Tests
Models
Model
Z.AI GLM 4.6
Test
Dialogue tags
Scenario
Write 500 words with 70% dialogue
Run ID
2026-02-08-01KGYZQZRCYV06RZDXNXAWGCHF
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 tapped a pen against the laminated diagram, which smelled faintly of orange crayon. The interior of their surveillance van, usually a den of serious criminal intent, currently felt more like a mobile daycare. “Okay, run it back,” she said, her voice tight. “Point of entry is the rear gate, left unlocked by the caterer’s assistant at 13:45. The parents will be fully engaged by ‘Magician Mike’ from 14:00 to 14:15. That’s our window for payload acquisition.” Bill, who was trying to balance a stale donut on his knee, looked up. “Payload acquisition? You mean the presents? Do you think there’ll be the new Ultra-Force 5000 laser tag set? I saw a commercial.” “We’re not ‘acquiring’ a specific toy, Bill, we’re lifting the entire stock. Twenty, maybe twenty-five wrapped units. Focus on the mission.” Molly pointed to a crudely drawn rectangle labeled ‘PRESENT TABLE.’ “I’ll create a diversion near the punch bowl. You grab the bags and exfiltrate through the hedge maze.” “Hedge maze?” Bill’s eyes lit up. “I love hedge mazes! Do you think it’s the kind with a minotaur statue in the middle?” “There is no minotaur, Bill. It’s a six-year-old’s birthday party, not the Labyrinth of Crete.” Molly rubbed her temples. “Did you bring the gear? The graphite powder, the tension wrenches?” “Better,” Bill said, beaming. He reached into his jacket and produced a bright pink party blower. When he unfurled it, a paper cascade of tiny cartoon unicorns shot out. “For auditory misdirection. Very disorienting.” Molly stared at the flimsy noisemaker. “That’s your diversion? A kazoo with a feather on it?” “It’s not a kazoo, it’s a celebration blower. And it’s distracting. You can’t plan a heist without a little razzle-dazzle.” He wiggled his eyebrows. “Our job is to be the opposite of razzle-dazzle. We’re supposed to be shadows, whispers, a fleeting chill down the spine of a suburban homeowner.” “Fine,” Bill sighed, putting the blower away. “No razzle-dazzle. But are we at least allowed to have some of the cake after? I’m hoping for chocolate fudge with little toy soldiers on it.” Molly dropped her head onto the steering wheel with a soft thud. “We’re stealing from a child, Bill. Let’s try to maintain a sliver of professional integrity.” “Right, right. Professional.” He paused, then leaned in conspiratorially. “So, is it a definite yes on the cake?”
created_at
"2026-02-08T16:02:15.208839+00:00"
Sunday, February 8th, 2026 at 4:02:15 PM GMT+00:00
model
"z-ai/glm-4.6"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
555
moderation_latency
(null)
generation_time
83358
tokens_prompt
61
tokens_completion
2393
native_tokens_prompt
66
native_tokens_completion
2413
native_tokens_completion_images
(null)
native_tokens_reasoning
1925
native_tokens_cached
32
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0042157999999776
router
(null)
provider_responses
0
id
"chatcmpl-R2gxaZlezWzkKeZzEK0Zkpbw"
status
200
is_byok
false
latency
67
endpoint_id
"c8607edc-8577-4199-b03d-1213da4743dc"
provider_name
"DeepInfra"
model_permaslug
"z-ai/glm-4.6"
api_type
"completions"
id
"gen-1770566450-VtlBpD7vMGtbIXVLeQvN"
upstream_id
"chatcmpl-R2gxaZlezWzkKeZzEK0Zkpbw"
total_cost
0.0042157999999776
cache_discount
0.0000112000000224
upstream_inference_cost
0
provider_name
"DeepInfra"
Evaluation details
Result
Evaluator
Details
Meta Data
0.0000%
Matches word count
n/a
neededClean
false
words
399
9.6258%
Dialogue to Total Word Ratio
Ratio: 63.16%, Deviation: 6.84%
neededClean
false
wordsTotal
399
wordsDialogue
252
4.8129%