Run: 2026-09-23-01M37HAEZ6R785C4RNQ81HDQXA

Run Details

Duration:
1m
Cost:
$0.008592
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
22.15% Dialogue to Total Word Ratio (details)
59.0708% 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 blueprints across the café table. They were drawn in crayon on the back of a children’s menu, but the important details were there: the front door, the garden gate, and a large purple rectangle labeled BOUNCY CASTLE. Bill studied them upside down while trying to fit a paper umbrella into his coffee. “Remind me why we’re robbing a birthday party,” he said. “Because last year, the birthday boy got a telescope, a drone, and a remote-control excavator. This year he’s turning seven. Imagine the upgrades.” “Imagine his mother.” Molly tapped the purple rectangle. “She’ll be supervising the bouncy castle.” “She supervised me out of her driveway with a rake when I delivered the wrong pizza.” “That’s why I’m wearing a disguise.” Bill looked at her yellow cardigan. “You look like you’ve come to complain about the library.” “Exactly. Nobody suspects the library.” Through the café window, balloons bobbed above the hedge of number forty-two. The party had started early. Every few minutes, a child emerged through the garden gate, shrieked with delight at something Bill couldn’t see, then vanished back inside. He hoped it wasn’t the rake. Molly produced a laminated card from her handbag. It read MRS. PENNYWHISTLE, MAGICAL ENTERTAINMENT in glittering letters. Beneath that, in smaller print, someone had written PLEASE CLAP. “You’re the magician?” Bill asked. “I’m the magician’s assistant. You’re Mrs. Pennywhistle.” Bill nearly swallowed the paper umbrella. “I don’t know any tricks.” “You know the one where you make an entire plate of sandwiches disappear.” “That’s not a trick. That’s lunch.” “Wear this.” She handed him a silver cape that smelled faintly of vinegar. “I’ll carry the presents out while you keep everyone occupied.” “How?” “Balloon animals. I’ve packed balloons.” Bill opened the bag she pushed toward him. Inside were twelve long balloons, a bicycle pump, and a paperback titled Balloon Animals for the Determined. A bookmark protruded from page three. “The presents are in the dining room,” Molly continued. “Once we’re inside, I’ll say I need somewhere quiet to prepare the grand finale.” “What is the grand finale?” “We leave.” Bill watched her roll up the blueprints. She did it with the brisk confidence of a woman who had never been asked to turn a balloon into a dachshund under pressure. Across the street, a door opened and an adult carried a towering cake toward the garden. Six children followed in a solemn procession, each holding a spoon. Bill fastened the cape. “Suppose they ask me to pull a rabbit from a hat?” “Tell them it’s invisible.” “And if they ask for proof?” Molly rose and placed a coin behind his ear. She had taken it from the café tip jar a moment earlier, which made the trick less impressive to Bill, though he had not seen her do it. “Distract them,” she said. Outside, the children spotted his cape. They pressed against the hedge, cheering before he had performed a single trick. Bill gave them a wave. It was easier than explaining he had come for their presents.
created_at"2026-09-23T16:24:30.679Z" 9/23/2026, 4:24:30 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency27726
moderation_latency(null)
generation_time60020
tokens_prompt75
tokens_completion837
native_tokens_prompt66
native_tokens_completion846
native_tokens_completion_images0
native_tokens_reasoning168
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"completed"
service_tier"default"
usage0.008592
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180670-kExFzdp1HQsAltTn8zsu"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180670-Ocj4AiNmJmPfXV6BIEnl"
upstream_id"resp_0c3b0adf8cf4e641016ab3fd3ef5c487d1ab458876947b5738"
provider_responses
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endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0c3b0adf8cf4e641016ab3fd3ef5c487d1ab458876947b5738"
is_byokfalse
latency682
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.008592
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words508
22.15% Dialogue to Total Word Ratio
Ratio: 35.49%, Deviation: 5.49%
neededCleanfalse
wordsTotal510
wordsDialogue181
59.0708%