Run: 2026-03-25-01KMJ84BCBNM34GTXS6ZRT1M45

Run Details

Duration:
19.7s
Cost:
$0.000195
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9995% 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
Rain tapped the rooftop of their cramped hatchback as Molly traced crayon-blue lines on a napkin—part floor plan, part fever dream. “Clowns are predictable,” Molly said. “They’re always eating cake or getting pied. We hit during the piñata.” Bill adjusted his sock puppet mask. “What if the kids see us?” “They’ll think we’re part of the act. ‘Look, Mommy, the raccoon’s stealing the Legos!’” “Raccoon? I spent twenty minutes on this!” “You wanted realism. Raccoons steal. It’s scientific.” “I feel typecast.” Molly flicked a chip crumb. “Sentimentality’s a liability. These presents have resale value. That Build-A-Bear could fund three fake mustaches.” “And glitter? Why is there always glitter?” “It’s psychological warfare. You’ll be sneezing through the getaway.” Bill frowned. “What if we get caught by a seven-year-old?” “Then you apologize with authority. ‘I’m sorry, sir, urgent toy redistribution.’ Now—bouncy castle or inflatable slide?” “Bouncy castle. Tactical bounce advantage.” “And the cake?” “Only if it’s chocolate. I have standards.” Molly tapped the napkin. “Distraction at 3:15. You honk the kazoo when the monkey puppet starts dancing.” “What monkey puppet?” “The one you're holding.” Bill looked down. “I’ve had this the whole time?” “Yes. And you’re wearing its pants.”
created_at"2026-03-25T10:20:04.367Z" 3/25/2026, 10:20:04 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1219
moderation_latency(null)
generation_time19678
tokens_prompt77
tokens_completion401
native_tokens_prompt72
native_tokens_completion314
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00019488
router(null)
provider_responses
0
endpoint_id"ce835ea8-00c7-4686-831d-7733dac5e2d9"
id"019d248230a40a2d01057cc988d48b9a"
is_byokfalse
latency1219
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434004-fjIJmZ9rvQKmM6j0pLsD"
upstream_id"019d248230a40a2d01057cc988d48b9a"
total_cost0.00019488
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
0.00% Dialogue to Total Word Ratio
Ratio: 77.94%, Deviation: 27.94%
neededCleanfalse
wordsTotal204
wordsDialogue159
49.9995%