Run: 2026-09-03-01M1KBDTR8GESCM9ANF1K8RXTG

Run Details

Duration:
22.1s
Cost:
$0.014597
Provider:
BaseTen

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9920% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 leaned over the crumpled napkin map. "Okay, Bill, the bounce house is the east entrance. You go in low, past the juice boxes." Bill squinted. "Why low? I'm six-two. Low means I'm basically crawling through toddlers." "Exactly. They'll think you're a dad playing horsey. You'll blend." "I don't blend with glitter and cupcake frosting, Molly. Last time I wore a party hat, I got glitter in my eye for a week." "That's the price of a score this big. Now, the gift table is by the pinata. You distract the clown, I'll load the wagon." "What wagon?" "The little red one with the handle. It's already there. I scouted it." Bill sighed. "You want me to distract a clown. How? Balloon animals? A pie to the face?" "Tell him you're the entertainment coordinator and his check bounced. That'll buy us four minutes." "Four minutes? You're going to steal forty presents in four minutes?" "No, I'm going to steal forty presents in three. The fourth minute is for the chocolate fountain." Bill rubbed his temples. "Molly, it's a six-year-old's birthday party. There will be parents. Parents who notice a strange woman shoving gift bags into a wagon." "Not if I'm wearing the mascot costume." "What mascot?" "Barry the Birthday Beaver. The zipper sticks, but the head is roomy." Bill stared. "You want me to distract a clown while you, dressed as a beaver, rob a child's gift table. And I'm supposed to be the weird one?" "Bill, focus. The clown is the linchpin. If he cries, the kids cry, and crying kids draw parents. We need him angry, not sad." "So I insult his check. Then what?" "Then you slip out through the face-painting station. The face painter owes me a favor. She'll give you a full tiger face. You'll walk out looking like a hired entertainer." "A tiger face. Great. That'll help me carry the wagon." "No, I'm carrying the wagon. You're the lookout. You stand by the bouncy castle and shout 'the clown is doing magic' if anyone gets near me." "What if the clown follows me?" "Then you challenge him to a balloon sword fight. You'll lose, but it'll be funny." Bill crossed his arms. "I'm not fighting a clown with a balloon sword." "Fine. Tell him there's a second bounce house out back with a broken waiver. He'll sprint." Molly tapped the napkin. "We meet at the minivan at two-fifteen. The party ends at two-thirty. We'll be gone before the cake." Bill shook his head. "This is the dumbest plan we've ever had." Molly grinned. "That's what you said about the petting zoo heist, and we made four hundred bucks." "We made four hundred bucks because a goat ate the evidence." "Exactly. Trust the chaos, Bill." Bill sighed and pocketed the napkin. "Fine. But if I get glitter in my eye again, I'm keeping the biggest present." "Deal. Now practice your clown face. You look too happy." "That's my terrified face, Molly." "Perfect. Terrified clowns are very believable."
created_at"2026-09-03T10:00:58.901Z" 9/3/2026, 10:00:58 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency628
moderation_latency(null)
generation_time21713
tokens_prompt75
tokens_completion3412
native_tokens_prompt147
native_tokens_completion3637
native_tokens_completion_images(null)
native_tokens_reasoning2926
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"
service_tier(null)
usage0.01459656
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429658-cPjPASshqS8D0DOzbFfV"
session_id(null)
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api_type"completions"
id"gen-1788429658-iXIsHLa55ntvnx5HRSJs"
upstream_id"chatcmpl-2d5b13bed7304044977aad9c1475bef4"
provider_responses
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endpoint_id"6811c06b-8624-4796-ad6e-807e33b97ae6"
is_byokfalse
latency300
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"Sail Research"
status429
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endpoint_id"85bb5a4a-983d-4d11-b97b-c7e5b348375f"
id"chatcmpl-2d5b13bed7304044977aad9c1475bef4"
is_byokfalse
latency628
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"BaseTen"
status200
total_cost0.01459656
cache_discount(null)
upstream_inference_cost0
provider_name"BaseTen"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words502
0.00% Dialogue to Total Word Ratio
Ratio: 92.72%, Deviation: 22.72%
neededCleanfalse
wordsTotal508
wordsDialogue471
49.9920%