Run: 2026-02-24-01KJ8VF70JBRW1KB7EJV3KF18A

Run Details

Duration:
24.3s
Cost:
$0.021010
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
55.89% Dialogue to Total Word Ratio (details)
74.7680% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 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
Molly spread the hand-drawn blueprint across the hood of their rusted minivan and anchored one corner with a juice box she had stolen from a gas station purely out of habit. The blueprint was done in crayon, which she felt added a certain artisanal quality to the operation. "Alright, here's what we're dealing with," she said, tapping the paper with authority. "The Hendersons are throwing little Caleb a seventh birthday party this Saturday. Bouncy castle in the back. Face painter by the garage. And every single guest is bringing a gift." Bill leaned in and squinted. "Is that a dog or a security guard?" "That's Mrs. Henderson. Focus, Bill." "Sorry. She's very rectangular." Molly took a steadying breath. She had pulled off a jewelry store job in Reno with fewer complications than a single conversation with Bill. "The presents will be stacked on a table in the dining room, visible through the sliding glass door. I counted fourteen kids on the e-vite." "You hacked their e-vite?" "I RSVP'd. I said we were bringing twins named Ashton and Dashton. Nobody questions twins, Bill. Twins are inherently trustworthy." Bill scratched the back of his neck, processing this with the speed of a dial-up connection. The afternoon sun beat down on the strip mall parking lot where they had convened, filling the air with the smell of hot asphalt and questionable life choices. "What kind of presents are we talking?" he asked. "Because last time you said it would be worth it, and we ended up with forty pounds of scented candles from that bridal shower." "Children's presents, Bill. We're talking LEGOs, gaming consoles, cash cards. One kid is allegedly bringing a drone. A drone." "Which kid?" "Does it matter which kid?" "I just want to know who I'm stealing a drone from. For my conscience." Molly stared at him with the flat patience of a woman who had long ago accepted her lot in life. She pulled a pair of matching polo shirts from a shopping bag and tossed one to Bill. They were bright teal with the words Party Pros printed on the front in iron-on letters that were already peeling. "We go in as entertainment coordinators," she said. "We set up, we mingle, we compliment the decorations. Then during the cake reveal, every parent in that house will have their phone out filming little Caleb's face. That gives us a ninety-second window to load the gifts into the van." "What about the bouncy castle? Kids see everything from a bouncy castle. It's like a watchtower made of joy." "That's why you're going to be in the bouncy castle, Bill. You're the distraction." Bill looked at the polo shirt, then at Molly, then at the crayon blueprint with its rectangular matriarch standing guard over a pile of colorful squares. "I'm going to be bouncing, aren't I?" "You're going to be bouncing so hard those kids forget presents even exist." He pulled the shirt over his head. It was two sizes too small, which somehow felt appropriate for the entire operation.
created_at"2026-02-24T22:14:15.322Z" 2/24/2026, 10:14:15 PM
model"anthropic/claude-4.6-opus-20260205"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1448
moderation_latency121
generation_time24108
tokens_prompt77
tokens_completion854
native_tokens_prompt92
native_tokens_completion822
native_tokens_completion_images(null)
native_tokens_reasoning75
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.02101
router(null)
provider_responses
0
endpoint_id"a8708fb9-08ea-43bb-a3b1-165c87ef09df"
id"4878204c-b3ab-41f8-8ebe-6eee3e51e91b"
is_byokfalse
latency1411
model_permaslug"anthropic/claude-4.6-opus-20260205"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771971255-ovT6kO7gtHL8QWMk4sP0"
upstream_id"4878204c-b3ab-41f8-8ebe-6eee3e51e91b"
total_cost0.02101
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
93.65% Matches word count n/a
neededCleanfalse
words509
55.89% Dialogue to Total Word Ratio
Ratio: 53.41%, Deviation: 3.41%
neededCleanfalse
wordsTotal513
wordsDialogue274
74.7680%