Run: 2026-06-24-01KVX2W3RXC3VTG2ZMXB8WMP33

Run Details

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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3091
moderation_latency(null)
generation_time18928
tokens_prompt77
tokens_completion820
native_tokens_prompt73
native_tokens_completion690
native_tokens_completion_images(null)
native_tokens_reasoning41
native_tokens_cached0
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)
usage0.0031382
router(null)
provider_responses
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endpoint_id"442ea97f-ad5e-40d5-b9a6-66e9e0417dce"
id"20260624230943c4f2fbc6c5d346b1"
is_byokfalse
latency3091
model_permaslug"z-ai/glm-5.2-20260616"
provider_name"Z.AI"
status200
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_cost0.0031382
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words460
0.00% Dialogue to Total Word Ratio
Ratio: 87.79%, Deviation: 17.79%
neededCleanfalse
wordsTotal467
wordsDialogue410
0.0000%