Run: 2026-04-25-01KQ2ED82FBMSTA3NCNV2XMZZ2

Run Details

Duration:
16.3s
Cost:
$0.000122
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.6885% 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
“I’m telling you, Bill, the bounce house is our Trojan horse.” Molly adjusted her fake horn-rimmed glasses. Bill stared at the party supply list. “We’re stealing presents from five-year-olds. There’s no dignity in a bounce house.” “Dignity doesn’t pay for my laser-cutter upgrade.” She tapped the map. “We roll in as ‘Uncle Bob’ and ‘Aunt Marge’—obnoxious relatives everyone ignores.” Bill sighed. “And my job?” “You’re the barf decoy.” “The what?” “When the bouncy castle spring leaks, pretend to be queasy. All attention on you. I grab the gift table.” “I have to simulate vomiting? In front of actual children?” “Method acting, Bill. You’ll get an award.” He rubbed his temples. “What if they smell a rat?” “We’re stealing Hello Kitty backpacks, not the Crown Jewels.” “There’s a piñata,” he muttered. “I love piñatas.” “No. Stay focused. After the cake cutting, I swap the presents with these.” She opened a bag of identical boxes filled with rocks. Bill peeked inside. “That’s duct-tape weight. They’ll know.” “By then we’re gone. Plan B: if caught, cry and say we’re from the IRS.” “Crying children, crying IRS agents—this is a nightmare.” Molly grinned. “Welcome to high-risk birthday security.”
created_at"2026-04-25T13:49:01.907Z" 4/25/2026, 1:49:01 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency610
moderation_latency(null)
generation_time6085
tokens_prompt77
tokens_completion428
native_tokens_prompt67
native_tokens_completion401
native_tokens_completion_images(null)
native_tokens_reasoning78
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"
usage0.00012166
router(null)
provider_responses
0
endpoint_id"934a69f9-bd54-474b-beca-24560f721e12"
is_byokfalse
latency79
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepInfra"
status(null)
1
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"b0540ea4-7db6-45d2-b6ac-f2cf1b3bfeec"
is_byokfalse
latency277
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-1777124941-9htdhQ3ppVuDES6wPAvN"
session_id(null)
api_type"completions"
id"gen-1777124941-JXKrHpYMoN0lWxO20jFv"
upstream_id"b0540ea4-7db6-45d2-b6ac-f2cf1b3bfeec"
total_cost0.00012166
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words195
0.00% Dialogue to Total Word Ratio
Ratio: 79.60%, Deviation: 29.60%
neededCleanfalse
wordsTotal201
wordsDialogue160
49.6885%