Run: 2026-04-25-01KQ2DQ4GB75M0ZGDC1M1E8QRZ

Run Details

Duration:
6.0s
Cost:
$0.000111
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
0.08% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
18.4364% 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
“Alright, Bill, run it by me one more time.” “We go in as clowns. I do balloon animals, you do face paint. We blend in.” “Blend in? With these floppy shoes? And whose idea was the red nose?” “It’s camouflage, Molly. No one suspects a clown.” “I suspect every clown, Bill. They’re terrifying. But fine. What about the presents?” “The piñata takes the hit first. Kids scream, parents rush. We swap the gift bags with decoys.” “Decoys filled with what? Rocks?” “Socks. Clean, folded socks. They’ll think it’s a late Christmas miracle.” “Parents will be thrilled. Kids will burn the house down. Then what?” “We exit through the bounce house. Slow. Casual. Waving.” “Waving. At the children we just robbed.” “It’s called misdirection, Molly. Give ‘em a smile, they forget the hurt.” “You call that misdirection? I call it a lawsuit. What if the birthday kid spots us?” “Then you do a magic trick. Make him disappear. Poof.” “I don’t do magic, Bill. I steal. There’s a difference.” “Fine. We pivot. If caught, we act like sad clowns. Tears work wonders.” “I’m not crying over a stolen present. I have standards.” “Just dab the eyes. Big, wet, theatrical. They’ll feel so bad they’ll give us cake.” “Cake. You’re planning to eat cake at a kids’ party we’re robbing.” “It’s in the union handbook. Page four. ‘Always secure the refreshments.’”
created_at"2026-04-25T13:36:57.747Z" 4/25/2026, 1:36:57 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency550
moderation_latency(null)
generation_time5475
tokens_prompt77
tokens_completion411
native_tokens_prompt67
native_tokens_completion364
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"
usage0.0001113
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"f1804d96-f474-480d-837d-c7ededcb56ac"
is_byokfalse
latency347
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-1777124217-WFG321BSaNUziO7zcmiG"
session_id(null)
api_type"completions"
id"gen-1777124217-DKFtQLk7ymg4y8tYKQr9"
upstream_id"f1804d96-f474-480d-837d-c7ededcb56ac"
total_cost0.0001113
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.08% Matches word count n/a
neededCleanfalse
words229
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal229
wordsDialogue229
18.4364%