Run: 2026-04-24-01KQ06GAZPPA2YP4Q7YVF62Z61

Run Details

Duration:
6.8s
Cost:
$0.000607
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
99.65% Dialogue to Total Word Ratio (details)
63.4082% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Alright, Operation Pinata Panic," Molly whispered, adjusting her balaclava. "We hit during 'musical chairs'. Chaos is our ally." Bill peered over the hedge. "That's a lot of tiny witnesses, Mol." "Please. They're easily distracted by shiny things. You'll be distraction duty." "Me? I look like a grumpy garden gnome in this!" "Exactly! You'll blend in with the decorations. Just wander near the snack table." "And the presents?" "I'll be 'Uncle Fumbles'. Dropped a hat, need help picking up 'accidentally' near the gift table." "Uncle Fumbles? Original." "Shush. The piƱata is the backup. If we get spotted, crack it open. Sugar rush equals panic." Bill sighed. "So, my job is look gnomish and maybe cause a sugar-induced riot?" "Essentially. Keep the little monsters off me while I liberate the loot." "And if they question the gnome?" "You tell them you're the new hired entertainment. 'Gnome for Hire'. It'll be hilarious." Bill nodded slowly. "Okay. But if I get stuck reading 'Happy Birthday' to a five-year-old, you owe me big time." "Deal. Now, move gnome-face!" Molly hissed, melting towards the brightly lit house.
created_at"2026-04-24T16:52:25.729Z" 4/24/2026, 4:52:25 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1330
moderation_latency(null)
generation_time6560
tokens_prompt77
tokens_completion611
native_tokens_prompt66
native_tokens_completion541
native_tokens_completion_images(null)
native_tokens_reasoning318
native_tokens_cached7
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"
usage0.00060711
router(null)
provider_responses
0
endpoint_id"c8760514-8a81-4a73-ae2c-be4942ba93f3"
id"2026042500522604077921c7e741c6"
is_byokfalse
latency1330
model_permaslug"z-ai/glm-4.5-air"
provider_name"Z.AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777049545-YCcuGLEHcuZ9CiJNd5G4"
session_id(null)
api_type"completions"
id"gen-1777049545-xz7g0LZmLNXr4FDwKaus"
upstream_id"2026042500522604077921c7e741c6"
total_cost0.00060711
cache_discount0.00000119
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words181
99.65% Dialogue to Total Word Ratio
Ratio: 87.57%, Deviation: 2.43%
neededCleanfalse
wordsTotal185
wordsDialogue162
63.4082%