Model

Z.AI GLM 4.7

Test

Dialogue tags

Scenario

Write 500 words with 30% dialogue

Run ID

2026-02-08-01KGYYZZGPP67MC9WACX6ECT68

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
Bill stared intently at the crude schematic drawn on the back of a greasy Denny’s placemat. The architectural lines were shaky, clearly reflecting the nervous tremor in his hand, but the target zone was circled in aggressive red marker. It was a sprawling suburban fortress, complete with a white picket fence that screamed of hidden booby traps or, worse, strict homeowner’s association fines. The air in the van smelled of stale corn chips and desperation. "Are you sure the payload is in the living room?" Bill asked, tapping a coffee stain on the diagram with a greasy finger. "My source on the playground mentioned a potential pool house transfer for the big items." Molly sighed deeply, adjusting the tightness of her tactical belt. She looked less like a criminal mastermind and more like a librarian who had simply lost her temper with a patron over a twenty-five cent late fee. She checked the spring-loaded mechanism of a grappling hook that was, surprisingly, hot pink. "Intel is solid, Bill. The birthday boy turns seven at 1400 hours. The cake cutting initiates at 1420, and the unwrapping phase is scheduled for 1430. We strike at 1431, right when the sugar crash hits the adults." It was a bold move. Stealing from adults was a calculated business transaction, usually involving corporate bonds and boring paperwork; stealing from children was a descent into absolute madness. The resale value on the black market for unopened video game consoles was astronomical, but the auditory risk of six-year-old screams was a variable that couldn't be ignored. Bill picked up a pair of oversized novelty sunglasses from the table. They were neon pink and shaped like stars, terrible for stealth but excellent for disguise. "What about the security detail? The surveillance photos show a clown. A real one, with a wig and everything." "He’s a combatant," Molly warned, checking the battery on a sonic dog whistle. "But I’ve acquired the distraction. Three squeaky tennis balls dipped in high-grade peanut butter. It’ll create a chaotic diversion." Bill nodded, grimacing as he remembered the last time they faced off against a balloon artist. He put on the pink glasses, feeling ridiculous. "And the disguise? You promised we’d go in as the catering staff. I even bought the bow tie." "Change of plans. Too many questions about hors d'oeuvres. We’re going in as the entertainment. You’re the backup dancer." Bill looked at the unicycle leaning against the wall of their safe house, then back at his partner in crime. The rubber tire was deflated and dusty. "Molly, I haven’t ridden a unicycle since the incident at the county fair. My balance is shot." "Then you better start pedaling, cowboy. Because those limited-edition LEGO sets aren’t going to steal themselves." They sat in silence for a moment, the weight of their impending larceny hanging heavy in the stale air of the van. Somewhere outside, a car alarm honked, a siren song for the degenerate. Bill cracked his knuckles, resigning himself to a life of petty theft and gravity-based stunts. "Do we take the piñata?" Molly looked at him with dead, shark-like eyes, the reflection of a pile of stolen wrapping paper visible in her gaze. "We take everything, Bill. Even the candy."
created_at"2026-02-08T15:51:47.125203+00:00" Sunday, February 8th, 2026 at 3:51:47 PM GMT+00:00
model"z-ai/glm-4.7-20251222" 
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency366
moderation_latency(null)
generation_time242279
tokens_prompt61
tokens_completion4171
native_tokens_prompt66
native_tokens_completion4200
native_tokens_completion_images(null)
native_tokens_reasoning3924
native_tokens_cached32
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/" 
is_byokfalse
finish_reason"stop" 
native_finish_reason"stop" 
usage0.00736616
router(null)
provider_responses
0
id"chatcmpl-Rpl0WQxvG9TBJENz0k04sm1R" 
status200
is_byokfalse
latency74
endpoint_id"ab79ffa8-8dcc-41c4-9a9f-6cc408135243" 
provider_name"DeepInfra" 
model_permaslug"z-ai/glm-4.7-20251222" 
api_type"completions" 
id"gen-1770565664-R5vPZqM3NItVnq6IIkIY" 
upstream_id"chatcmpl-Rpl0WQxvG9TBJENz0k04sm1R" 
total_cost0.00736616
cache_discount0.00001024
upstream_inference_cost0
provider_name"DeepInfra" 

Evaluation details

Result Evaluator Details Meta Data
0.0000% Matches word count n/a
neededCleanfalse
words547
38.4992% Dialogue to Total Word Ratio
Ratio: 34.37%, Deviation: 4.37%
neededCleanfalse
wordsTotal547
wordsDialogue188
19.2496%