Run: 2026-04-25-01KQ2EV8N0HHMEF6E7S4WNSTRX

Run Details

Duration:
5.5s
Cost:
$0.000102
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
82.39% Dialogue to Total Word Ratio (details)
89.1862% 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
“You sure about this, Molly?” Bill whispered, huddled behind a bouncy castle. “Of course I’m sure. The birthday girl’s name is Lily. She’s seven. She’ll have thirty loot bags, each stuffed with candy and plastic junk we can sell on eBay.” “eBay? We’re stealing from a child and flipping it on eBay?” “Don’t get moral on me. You ate three of her cupcakes in the bush.” “They were vanilla. Irresistible. But what’s the plan? We can’t just walk in.” “We’re party clowns. I’m Trixie the Tickler. You’re Bongo the Bonker.” “Bongo the Bonker? That sounds like a bad magician with a criminal record.” “Focus. I’ll do balloon animals while you set up the ‘magic trunk.’ We swap the real presents for empty boxes during the ‘Great Disappearing Gift Trick.’” “And if a kid wants their present back?” “Then Bongo gives them a very sad face and a lollipop. They’re seven. They’ll forget by snack time.” “And the parents?” “The parents will be drunk on fruit punch. Look, the banner says ‘Presents under the rainbow arch.’ I’ll distract. You grab. Three minutes, in and out.” “Three minutes. Fine. But if I get glitter on my new gloves, I’m billing you for dry cleaning.” “Deal. Now smile. It’s showtime, Bongo.”
created_at"2026-04-25T13:56:41.252Z" 4/25/2026, 1:56:41 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency513
moderation_latency(null)
generation_time5391
tokens_prompt77
tokens_completion361
native_tokens_prompt67
native_tokens_completion330
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"
usage0.00010178
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"2a275b9f-44bf-4c92-acf4-7849e024a1f3"
is_byokfalse
latency288
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-1777125401-x868vsL1LiuN98m4doHp"
session_id(null)
api_type"completions"
id"gen-1777125401-slo05r3mOjaZ3TnnzMpw"
upstream_id"2a275b9f-44bf-4c92-acf4-7849e024a1f3"
total_cost0.00010178
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words208
82.39% Dialogue to Total Word Ratio
Ratio: 96.63%, Deviation: 6.63%
neededCleanfalse
wordsTotal208
wordsDialogue201
89.1862%