Run: 2026-04-25-01KQ2FYYSMVZ8BMJJQ05730J94

Run Details

Duration:
6.6s
Cost:
$0.000117
Provider:
DeepSeek

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 10% 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
The inflatable unicorn bobbing over the neighbor’s fence was a beacon of juvenile excess. Molly pressed her face against the binoculars, counting the wrapped packages stacked beside the bouncy castle. “Eighteen. At least.” Bill, wedged behind a hedge, jotted notes on a napkin. “Security? The dad’s grilling. He’s got tongs. That’s a weapon.” “The cake’s a distraction. We hit during ‘Happy Birthday’—everyone’s eyes shut, mouths open. Classic.” Molly lowered the binos. “Grab the haul, slip through the doggy door.” “The doggy door,” Bill repeated, deadpan. “That the one shaped like a bone the size of my head?” Molly grinned. “We grease up. I saw a tub of shortening in their recycling.” “I’ll be a human butter stick. My mother would be so proud.” They watched a piñata take a brutal beating. A child screamed with unbridled joy. Bill sighed. “I feel bad for the little monsters.” “Don’t. They’ll get more presents than we ever did. And we’re giving them a story. ‘The Great Present Heist of 2024.’” Molly clapped him on the shoulder. “Legacy, Bill.” “My legacy is lard stains on my pants.” He folded the napkin. “Fine. But I’m wearing gloves. I draw the line at finger-greased loot.”
created_at"2026-04-25T14:16:10.807Z" 4/25/2026, 2:16:10 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency956
moderation_latency(null)
generation_time6546
tokens_prompt77
tokens_completion414
native_tokens_prompt67
native_tokens_completion386
native_tokens_completion_images(null)
native_tokens_reasoning67
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"
usage0.00011746
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"0c4ca257-adf0-47e2-8264-db893f795e13"
is_byokfalse
latency578
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777126570-MxYwtazCUSQ0xdAugrdt"
session_id(null)
api_type"completions"
id"gen-1777126570-OzAWB9BEmbJIc0jjwjoO"
upstream_id"0c4ca257-adf0-47e2-8264-db893f795e13"
total_cost0.00011746
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
0.00% Dialogue to Total Word Ratio
Ratio: 62.50%, Deviation: 52.50%
neededCleanfalse
wordsTotal200
wordsDialogue125
49.9995%