Run: 2026-04-25-01KQ2DHHFGZPAYBQBZS4JDCJ1H

Run Details

Duration:
9.8s
Cost:
$0.000200
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 pressed her eye to the gap in the fence, watching a bouncy castle inflate with a series of flatulent wheezes. “It’s a fortress of giggles, Bill. A sugar-fueled Alcatraz.” Bill, wedged behind a dumpster, adjusted his fake mustache. It was already peeling at the corner. “I’ve got the plans. The gift table is by the cake station, under a banner that says ‘Happy Birthday, Chloe.’ Who names their kid Chloe anymore?” “Rich people,” Molly whispered. “The ones who buy pileable gift boxes from that store that smells like sandalwood and regret. The loot is premium. We’re talking $40 board games and finger puppets made from alpaca wool.” Bill snorted. “Alpaca wool? We’re stealing from toddlers for alpaca wool.” “Don’t be classist. A heist is a heist.” Molly slid a laminated map from her jacket. “Here’s the entry. We go over the fence at 2:07 PM, when the magician starts his act. He does the dove thing, parents clap like seals, kids get distracted. That’s our window.” “And if the magician sees us? What then? I’m not fighting a man in a cape.” “You won’t. The cape is velvet. It’s a trip hazard. We’re professionals, Bill. We wear sensible shoes.” Molly pointed at her scuffed trainers. “Sparks’ self-tie loafers. Had them since ‘06.” Bill rubbed his temples. “Okay, okay. We’re in. We grab the gifts. How do we get them out without looking like we just knocked over a Build-a-Bear?” “The dog.” Molly grinned. “The dog?” Bill’s eyes went wide. “The real, slobbering golden retriever they hired for emotional support? That dog?” “Exactly. I’ve rigged a harness under his belly. We attach a canvas sack. The dog walks out, wags his tail, and we follow like we’re just super affectionate owners. No one questions a man and a woman cooing over a dog.” Bill stared at her. “You’re insane.” “And you’re in.” Molly checked her watch. “We’ve got 45 minutes. I need you to go buy a party horn. The long, curly kind. Red.” “Why a party horn?” “Because when the magician brings out the rabbit, I’m going to blow it loudly and yell, ‘Surprise!’ Everyone will look. You slide the sack under the table. It’s misdirection with a double dip of celebration.” Bill opened his mouth, closed it, then nodded slowly. “Fine. I’ll get the horn. But if I end up arrested for stealing a bag of kinetic sand and a plush narwhal, I’m telling them the whole thing was your idea. And that you cried during the bouncy castle setup.” Molly patted his cheek. “That’s the spirit. Now go. And Bill? Get the good horn. The one that actually makes a sound that sounds like a dying goose. It’s more confusing.”
created_at"2026-04-25T13:33:54.036Z" 4/25/2026, 1:33:54 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency575
moderation_latency(null)
generation_time9706
tokens_prompt77
tokens_completion729
native_tokens_prompt67
native_tokens_completion682
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"
usage0.00020034
router(null)
provider_responses
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endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"55ef9601-094e-48fc-a736-d060d9df060d"
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-1777124034-sawmWJFVshQ2XNcrwGlu"
session_id(null)
api_type"completions"
id"gen-1777124034-WUB2fnpRBpoAp2DmmVFv"
upstream_id"55ef9601-094e-48fc-a736-d060d9df060d"
total_cost0.00020034
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words453
0.00% Dialogue to Total Word Ratio
Ratio: 81.18%, Deviation: 51.18%
neededCleanfalse
wordsTotal457
wordsDialogue371
0.0000%