Run: 2026-05-29-01KSSJK9ER4WZ2KSY95CJ8VM4W

Run Details

Duration:
20.8s
Cost:
$0.027640
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
1.66% Dialogue to Total Word Ratio (details)
50.7898% 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 spread the blueprint across the hood of the rusted sedan, smoothing the wrinkles with the flat of her palm. Bill leaned in, squinting at the crayon-drawn map that depicted a suburban backyard with alarming detail. "You drew this?" he asked. "My niece did. She's eight. Cost me a juice box and three fruit snacks." The map showed a bounce house, a folding table laden with gifts, and a creature labeled simply as "the clown." Molly tapped the table with her finger, her expression grim and businesslike, like a general surveying enemy fortifications before a doomed campaign. Bill scratched his stubble. The afternoon sun beat down on the parked car, and somewhere in the distance, the unmistakable shriek of overstimulated children pierced the air like a siren. "Walk me through it again," he said. "It's simple. We go in during cake time. Everyone's distracted, sugar-blind, half of them crying. The presents are stacked here, unguarded." She circled the table aggressively. "We grab the loot, we're out the back gate before anyone notices." "And the clown?" Molly's jaw tightened. "The clown is the variable." Bill straightened up, suddenly uneasy. He had robbed banks, casinos, and once a moderately guarded museum. But there was something about a children's birthday party that made his skin crawl in ways he couldn't articulate. "I don't like it," he admitted. "Last job, you said it'd be easy too. Then there was the dog." "That dog was a complication nobody could've predicted." "It ate my glove, Molly." "You have two hands. You have backup gloves." She rolled up the blueprint and tucked it into her jacket. "Focus. The presents at these parties? Premium stuff. Tablets, gift cards, those collectible card things the kids are obsessed with. We're talking four figures, easy." Bill considered this. He pictured a mountain of brightly wrapped boxes, each one a glittering promise of profit. His resolve hardened, then immediately softened again as a child wearing a paper crown sprinted past the car, screaming about pizza. "What if we get caught?" he whispered. "By who? A bunch of toddlers? You gonna let a six-year-old intimidate you?" "They travel in packs. They're fearless. They don't understand consequences." Molly grabbed him by the collar and pulled him close, her eyes burning with the focused intensity of a true professional. "Bill. Listen to me. We did the prep. We have the disguises." She gestured to the backseat, where two enormous panda costumes lay crumpled in a heap. "We blend in, we execute, we leave. Nobody suspects the entertainment." Bill looked at the panda suits. Then he looked at the party, where a banner reading HAPPY BIRTHDAY TYLER swayed gently in the breeze. "Why pandas?" he asked. "Tyler's theme is dinosaurs." Molly froze. Slowly, she turned to look at the banner, then back at the costumes, then back at the banner again. A long silence stretched between them, broken only by the distant pop of a balloon. "Get in the car," she said quietly. "Molly—" "Get in the car, Bill."
created_at"2026-05-29T09:56:09.824Z" 5/29/2026, 9:56:09 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1752
moderation_latency(null)
generation_time20797
tokens_prompt77
tokens_completion800
native_tokens_prompt93
native_tokens_completion1087
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"end_turn"
service_tier"default"
usage0.02764
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_014Zu5ukwPtgrnGXzcPwz1Vz"
is_byokfalse
latency1745
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780048569-9rC13ZPeBpSCtPOEEdwl"
session_id(null)
api_type"completions"
id"gen-1780048569-nUuWjd9Vp2JJ5jD6LjIp"
upstream_id"msg_014Zu5ukwPtgrnGXzcPwz1Vz"
total_cost0.02764
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words503
1.66% Dialogue to Total Word Ratio
Ratio: 39.05%, Deviation: 9.05%
neededCleanfalse
wordsTotal507
wordsDialogue198
50.7898%