Run: 2026-04-25-01KQ2FMRDTBD2WTP5V5Q7QQR6Y

Run Details

Duration:
5.2s
Cost:
$0.000098
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
48.8138% 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
Molly crouched behind a bouncy castle, squinting at the gift table. “This is insane,” she whispered. “We’re stealing from seven-year-olds.” Bill adjusted his clown wig, checking his makeup in a compact mirror. “It’s not stealing from them, it’s re-distributing joy. Their parents spent too much. We’re restoring balance.” “Balance? We’re wearing face paint and carrying a sack labeled ‘Swag.’” “It’s thematic,” he said, stuffing a rubber chicken into his pocket. “The birthday boy, Timmy, just opened a drone. You want that in the hands of a child who can’t even spell ‘drone’? I can sell that to a guy who owns a falcon.” “A falconer?” “Precisely. Now, your distraction. You see the piñata?” “The unicorn?” “The unicorn’s about to reveal its tragic, candy-less destiny. You’ll scream, ‘There’s a real spider!’ They’ll panic. I’ll execute the grab.” “That’s cruel.” “So is the economy,” Bill said, blowing a squeaky horn. “Ready?” Molly sighed, then waved. “Fine. But if we get arrested by a parent in a princess costume, I’m telling them you named the operation ‘Loot and Booty.’” “That was your idea,” Bill muttered, as a child tugged his sleeve. “Hold that thought, future fence.”
created_at"2026-04-25T14:10:36.606Z" 4/25/2026, 2:10:36 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency605
moderation_latency(null)
generation_time5099
tokens_prompt77
tokens_completion357
native_tokens_prompt67
native_tokens_completion317
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"
usage0.00009814
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"30f997c0-24ec-4f1e-9c71-65322a8f8346"
is_byokfalse
latency274
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-1777126236-EYPMbJsOoDRPCMFBS6Yz"
session_id(null)
api_type"completions"
id"gen-1777126236-lEgcbhs6SlrBmiyowNE8"
upstream_id"30f997c0-24ec-4f1e-9c71-65322a8f8346"
total_cost0.00009814
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words193
0.00% Dialogue to Total Word Ratio
Ratio: 73.33%, Deviation: 23.33%
neededCleanfalse
wordsTotal195
wordsDialogue143
48.8138%