Run: 2026-04-24-01KQ08C23KA52DJN4FBWA3MFKR

Run Details

Duration:
3.4s
Cost:
$0.000214
Provider:
SiliconFlow

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 200 word scene that has 50% 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 traced the route on the napkin with a sticky finger. “Okay, the west window is our best entry. Low risk, high reward. Once we’re in, we grab and ghost. Simple.” “Simple?” Bill scoffed, polishing a monocle. “Molly, my dear, you’re thinking like a professional. This requires finesse. These are children’s presents. We need a theme. I’ll be ‘The Jolly Present Goblin’. You can be… ‘The Shadow of Wrapping Paper’.” “No,” Molly said flatly. “We’re not dressing up. The goal is to not be seen. And ‘Goblin’ sounds aggressive. We don’t want any crying.” “Oh, right, because the sound of a crying child is the worst thing we could possibly hear while committing a felony,” Bill muttered, adjusting his tiny top hat. “Fine, no costumes. But we are taking the giant inflatable unicorn. It’ll be our getaway vehicle.” Molly stared at him. “Bill, we’re stealing it in a wheelbarrow.” “Details.” He waved a dismissive hand. “Now, about the loot distribution…”
created_at"2026-04-24T17:25:02.719Z" 4/24/2026, 5:25:02 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1081
moderation_latency(null)
generation_time3195
tokens_prompt77
tokens_completion274
native_tokens_prompt70
native_tokens_completion237
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00021362
router(null)
provider_responses
0
endpoint_id"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id"019dc0860bcd1e51468f2ad096fd2086"
is_byokfalse
latency1075
model_permaslug"z-ai/glm-4.5-air"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777051502-QqJJFp4QxongGMLq2ngA"
session_id(null)
api_type"completions"
id"gen-1777051502-gGCR9yIpPobTYHb4CFM5"
upstream_id"019dc0860bcd1e51468f2ad096fd2086"
total_cost0.00021362
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words160
0.00% Dialogue to Total Word Ratio
Ratio: 78.13%, Deviation: 28.13%
neededCleanfalse
wordsTotal160
wordsDialogue125
0.0000%