Run: 2026-04-24-01KQ03KQCKDAZFYN40T433YWTC

Run Details

Duration:
29.6s
Cost:
$0.000498
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
3.62% Matches word count (details)
91.38% Dialogue to Total Word Ratio (details)
47.4992% 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
"Right, presents. All of 'em. We hit the bouncy castle first, quick snatch and grab," Molly said, tracing a path on the dashboard. "Bill, you're on balloon duty. Create a diversion, make 'em look up." "Balloon duty? Molly, I look ridiculous in a big purple hat. Remember the garden gnome incident?" "It was a fetching hat. Focus. While they're watching the floating badger, I slip in through the petting zoo enclosure. The goats won't snitch." "Goats? Molly, those things eat everything! Including fingers! What if I get nibbled?" "The risk is part of the thrill, Bill. Or we could go with Plan B. You dress as the magician. 'Abracadabra! Presents vanish!'" "And my magnificent purple hat?" "Perfect. Now, the real question: do we go before or after the piñata? Post-piñata means less candy competition, pre-piñata means the kids are distracted by the stick. Decisions, decisions." "Can't we just ask nicely? They'd share, right?" "Molly, this is a heist! Not a playdate. Now, hand me the grappling hook. And the purple hat. You look fabulous in hats."
created_at"2026-04-24T16:01:51.004Z" 4/24/2026, 4:01:51 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3597
moderation_latency(null)
generation_time29513
tokens_prompt77
tokens_completion648
native_tokens_prompt66
native_tokens_completion568
native_tokens_completion_images(null)
native_tokens_reasoning304
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"
usage0.00049772
router(null)
provider_responses
0
endpoint_id"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id"019dc039edb8c3ffca9e3fc9902bfac7"
is_byokfalse
latency3597
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-1777046511-62AKGRC8o7XxxS5lTWak"
session_id(null)
api_type"completions"
id"gen-1777046511-da4BuTNG8v4Y5fWInpNj"
upstream_id"019dc039edb8c3ffca9e3fc9902bfac7"
total_cost0.00049772
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
3.62% Matches word count n/a
neededCleanfalse
words176
91.38% Dialogue to Total Word Ratio
Ratio: 95.48%, Deviation: 5.48%
neededCleanfalse
wordsTotal177
wordsDialogue169
47.4992%