Run: 2026-04-25-01KQ2G0BJD8DTQJ4QAHC7NWCQM

Run Details

Duration:
6.1s
Cost:
$0.000116
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
9.61% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
4.8041% 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
“You’re telling me we have to dress like clowns?” Bill held up the floppy red shoes with genuine horror. “I have a reputation, Molly.” “Your reputation as a guy who once tried to steal a forklift wearing a banana costume,” Molly said, adjusting her oversized polka-dot bow. “Besides, kids trust clowns. They hand you their presents voluntarily.” “They hand you their presents because you’re doing balloon animals,” Bill grumbled. “I don’t make balloon animals. I make trouble.” “Then make a balloon sword. Distract them while I work the loot table.” Molly checked her watch. “The party starts in ten minutes. Mrs. Henderson’s son is turning six. There’ll be at least thirty gifts. All unwrapped. Easy pickings.” “What if the birthday kid cries?” “What if you stop being a baby and put on the nose?” Molly shoved the red foam sphere into his palm. “We’re professionals. Act like one.” Bill sighed and squeezed the nose. It squeaked. “If anyone from the syndicate sees this, I’m blaming you.” “Relax. They’ll just see a sad clown with a balloon giraffe.” Molly grinned. “Now remember: we’re here for the presents, not the cake.” “What’s wrong with the cake?” “Nothing, if you want to get caught with frosting on your chin. Focus, Bill.” He shoved the nose onto his face. “Fine. But I’m keeping the balloon animals.”
created_at"2026-04-25T14:16:56.658Z" 4/25/2026, 2:16:56 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency543
moderation_latency(null)
generation_time5953
tokens_prompt77
tokens_completion443
native_tokens_prompt67
native_tokens_completion382
native_tokens_completion_images(null)
native_tokens_reasoning59
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"
usage0.00011634
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"f4abc5b8-f047-46c4-ad87-bc9d18c6c7ec"
is_byokfalse
latency276
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-1777126616-wzAqBoQo8mtNQfFncdOM"
session_id(null)
api_type"completions"
id"gen-1777126616-4Tm7R28tY1G9pQi6zUph"
upstream_id"f4abc5b8-f047-46c4-ad87-bc9d18c6c7ec"
total_cost0.00011634
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
9.61% Matches word count n/a
neededCleanfalse
words222
0.00% Dialogue to Total Word Ratio
Ratio: 77.58%, Deviation: 27.58%
neededCleanfalse
wordsTotal223
wordsDialogue173
4.8041%