Run: 2026-04-25-01KQ2FDE6XQKJ1P8EFCAXX24GQ

Run Details

Duration:
4.6s
Cost:
$0.000089
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
21.6892% 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
“Okay, run it by me again,” Molly said, adjusting the oversized clown wig. “The target is a seven-year-old named Kevin.” “Correct,” Bill whispered, his face half-hidden by a rainbow-striped tie. “And his haul of Paw Patrol tower playsets, glitter slime, and at least two chocolate fountains.” “And we’re breaking in through the bouncy castle?” “Through the emergency exit flap, yes. The magician will be distracted by the cupcake tower collapse.” Molly raised an eyebrow. “You arranged for the cupcake tower to collapse?” “No, the child named Chloe did. I simply paid her five dollars to knock it over at 3:15.” “That’s diabolical.” She grinned. “But what about the dad with the camcorder?” Bill pulled out a jar of mayonnaise. “I’ll ‘accidentally’ drop this. The clean-up buys us ninety seconds.” “And the giant SpongeBob balloon?” “We don’t touch the balloon. You have a problem with authority figures, Molly, not sponges.” Molly sighed. “Fine. But if we’re caught, I’m telling them you planned the whole thing in a therapy session.” “A perfectly reasonable deviation,” Bill said, tucking the mayo back. “Now, on three. One... two...”
created_at"2026-04-25T14:06:36.769Z" 4/25/2026, 2:06:36 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency613
moderation_latency(null)
generation_time4468
tokens_prompt77
tokens_completion334
native_tokens_prompt67
native_tokens_completion284
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"
usage0.0000889
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"cf2746ec-976a-4bce-aab6-327542825ef4"
is_byokfalse
latency362
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-1777125996-hfUybdbgNdvZopwrGJls"
session_id(null)
api_type"completions"
id"gen-1777125996-o0ZKtiNA2VFiKt2zJ4Vw"
upstream_id"cf2746ec-976a-4bce-aab6-327542825ef4"
total_cost0.0000889
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
43.38% Matches word count n/a
neededCleanfalse
words183
0.00% Dialogue to Total Word Ratio
Ratio: 79.26%, Deviation: 29.26%
neededCleanfalse
wordsTotal188
wordsDialogue149
21.6892%