Run: 2026-04-25-01KQ2E63E7MPT5SFCR9B59G7M0

Run Details

Duration:
4.9s
Cost:
$0.000087
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
43.1902% 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 helium tank hissed like a punctured ego as Molly adjusted the nozzle on her inflatable unicorn costume. “Bill, the invite says ‘Uncle Larry’s Magical Menagerie.’ We’re the last act.” Bill, already stuffed into a bear suit that smelled faintly of regret and mothballs, grunted. “And the loot is in the bounce house. You sure?” Molly smirked, the unicorn horn wobbling. “I saw the mom tape the gift cards to the inflatable dolphin. They think hiding them in the prize pool is clever. We extract, pop the slide, and vanish.” Bill tugged at his bear head. “What if a kid wants a balloon animal?” Molly’s eyes gleamed. “You distract. I’ll raid the goody bags. Remember: no eye contact, no autographs, and for the love of glitter, don’t sneeze in the face paint.” Bill sighed, a sound like a deflating tuba. “And the giant Jenga tower?” Molly kicked a foam block. “That’s for the parents. We use it as a diversion. When it falls, everybody cries, and we walk out with a thousand dollars in birthday cash.” Bill nodded, his bear snout twitching. “Fine. But I’m not eating the cake.”
created_at"2026-04-25T13:45:07.787Z" 4/25/2026, 1:45:07 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency541
moderation_latency(null)
generation_time4807
tokens_prompt77
tokens_completion289
native_tokens_prompt67
native_tokens_completion276
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"
usage0.00008666
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"f80dd259-4ebf-43cc-aae5-71c056585780"
is_byokfalse
latency273
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-1777124707-LzClmSZqGMOV80gl9nqU"
session_id(null)
api_type"completions"
id"gen-1777124707-qu99tfl19vUzNjBEeqKl"
upstream_id"f80dd259-4ebf-43cc-aae5-71c056585780"
total_cost0.00008666
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
0.00% Dialogue to Total Word Ratio
Ratio: 64.55%, Deviation: 54.55%
neededCleanfalse
wordsTotal189
wordsDialogue122
43.1902%