Run: 2026-04-24-01KQ0G8ZKMW1J5RNS28FNDQHKG

Run Details

Duration:
13.4s
Cost:
$0.028015
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
83.58% Dialogue to Total Word Ratio (details)
71.9270% 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 spread the blueprints across the sticky diner table, nudging aside a plate of half-eaten pancakes. Bill leaned in, squinting at the crayon-scrawled paper like it was a nuclear launch code. "This is the layout?" Bill asked. "That's the layout." "Molly, this is drawn on the back of a Denny's placemat." "I know what it's drawn on, Bill. I drew it." Bill pinched the bridge of his nose. "There's a dinosaur in the corner." "That's the bouncy castle." "Why does it have teeth?" "Because it's a dinosaur bouncy castle," Molly said, tapping the paper with a chipped fingernail. "Focus. The birthday boy turns seven at two o'clock sharp. That's when the piƱata drops, and that's when every parent in that backyard is distracted." "And the presents?" "Stacked on a folding table by the rose bushes. I counted at least eleven gift bags at the last party I cased." Bill looked up slowly. "You cased a seven-year-old's birthday party?" "I was thorough." "You were at a seven-year-old's birthday party, Molly." "I told them I was Aunt Deborah." "Whose Aunt Deborah?" "Everybody's, apparently. Nobody questioned it. I ate three cupcakes and left with a goodie bag." Bill rubbed his face. "I want to go on record saying this is the lowest point of my criminal career." "Lower than the llama thing?" "Don't bring up the llama thing." "You brought up the llama thing." "I said don't bring it up." Bill took a long sip of coffee. "What's our way in?" "The side gate. Mom's busy with the magician, Dad's arguing about the grill, and the nanny is on her phone crying about a guy named Trevor." "How do you know about Trevor?" "I'm Aunt Deborah, Bill. People tell me things." Bill stared at her. "So we waltz in, grab the presents, and walk out." "We don't walk. We roll." "Roll?" Molly produced a photograph from her jacket and slid it across the table. Bill looked down at a picture of a bright red Radio Flyer wagon. "Absolutely not." "It's the perfect getaway vehicle." "It's a child's toy." "It's inconspicuous. Nobody suspects a wagon." "Everyone suspects a wagon when it's being pulled by two grown adults away from a birthday party full of screaming children." "Then we don't run. We stroll. Confidence, Bill. Confidence is the best disguise." Bill sighed the sigh of a man who had made poor life choices and was about to make another one. "What's my role?" "You're the clown." "I'm sorry?" "Specifically, Mr. Giggles. I rented the costume. It's in the car." "Molly." "The real Mr. Giggles has food poisoning. I may or may not have slipped something into his oat milk." "Molly!" "Keep your voice down, Bill. We're in public." Bill looked at the placemat, at the wagon, at the dinosaur with the teeth. He picked up his coffee and drained it. "What time do I need to put on the wig?"
created_at"2026-04-24T19:43:10.459Z" 4/24/2026, 7:43:10 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency686
moderation_latency(null)
generation_time13287
tokens_prompt77
tokens_completion772
native_tokens_prompt98
native_tokens_completion1101
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"
usage0.028015
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"d29dd43e-4b3b-48f0-9874-1a559f51d271"
is_byokfalse
latency686
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059790-93Rjnic1o9WthUXgGiaL"
session_id(null)
api_type"completions"
id"gen-1777059790-M2Fftu9UVRCVsQGtvpT0"
upstream_id"d29dd43e-4b3b-48f0-9874-1a559f51d271"
total_cost0.028015
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words485
83.58% Dialogue to Total Word Ratio
Ratio: 71.89%, Deviation: 1.89%
neededCleanfalse
wordsTotal491
wordsDialogue353
71.9270%