Run: 2026-09-29-01M3P2MC037D5DA4R85DG9KJRX

Run Details

Duration:
17.0s
Cost:
$0.022610
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
51.93% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
25.9639% 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 unrolled the blueprint across the hood of the van and weighed down the corners with a juice box, a stapler, and a half-eaten churro. "This," she said, tapping a crayon-drawn rectangle, "is the Hendersons' backyard. Saturday, two o'clock. Little Tobias turns six, and his parents have spent more on party favors than I spent on my first car." Bill squinted at the paper. "Why is there a dragon on it?" "That's the bouncy castle." "It has a face." "They all have faces, Bill. Focus." He cleared his throat and adjusted the collar of his turtleneck, which he insisted made him look professional. "Right. So we're robbing a children's party." "We're relocating gifts," Molly said. "Forty-two presents, unattended while the kids are busy smashing a llama." "A llama?" "A piƱata llama. Try to keep up." Bill crossed his arms. "I have concerns. Number one, children are terrifying. They can smell fear. Last time I walked past a playground, a toddler pointed at me and screamed, 'Bad man!'" "You were wearing a ski mask at a bus stop." "It was cold!" Molly sighed and pulled out a second sheet. "Which is why you won't be Bill. You'll be Bubbles the Clown." Bill went pale. "No." "You're the distraction. Balloon animals, a little juggling. Every eye on you while I slip through the hedge and clear the gift table." "Molly, I can't make balloon animals. Last time I tried, I made something that looked like a sad noodle and a boy cried." "Then make sad noodles. Kids love authenticity." He rubbed his temples. "And the parents? There'll be adults. Gary-from-accounting types who grill things aggressively." "That's where the cake comes in." Molly grinned and produced a photograph of a sheet cake shaped like an excavator. "Ten minutes before showtime, we swap the real cake for this one, which contains a mild, entirely legal amount of melatonin." "That's still awful." "It's a nap, Bill. We're giving them a gift too." Bill stared at her. "You're the only person I know who can make a felony sound like a wellness retreat." "Thank you." She rolled up the blueprint and tucked it under her arm. "Now, the getaway. I've rented a minivan with a 'Baby on Board' sticker. Nobody suspects a minivan." "Do we have a baby?" "We have a very realistic doll named Gerald." Bill opened his mouth, closed it, and sighed. "Fine. But if a kid asks me to make a giraffe, I'm walking." "Deal," said Molly. "Now put on the nose." He looked at the red foam nose in her palm as though it were a live grenade. Then, with his dignity slowly leaving his body, he put it on. "It honks," Molly added. Bill squeezed it. It honked, loudly, and somewhere down the street a dog began to bark. "I hate this," he whispered. "You look adorable," said Molly, and handed him the juggling pins.
created_at"2026-09-29T07:56:22.921Z" 9/29/2026, 7:56:22 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3546
moderation_latency(null)
generation_time16931
tokens_prompt75
tokens_completion1013
native_tokens_prompt95
native_tokens_completion2242
native_tokens_completion_images(null)
native_tokens_reasoning1194
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"
usage0.02261
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668582-gpTB5krZ3Wt0st2xzKlS"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668582-u7u0p6SEPrkreY9BIQBN"
upstream_id"msg_011CfXNbHHfUNX19hgxaaYgd"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNbHHfUNX19hgxaaYgd"
is_byokfalse
latency688
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.02261
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
51.93% Matches word count n/a
neededCleanfalse
words484
0.00% Dialogue to Total Word Ratio
Ratio: 64.62%, Deviation: 14.62%
neededCleanfalse
wordsTotal489
wordsDialogue316
25.9639%