Run: 2026-07-25-01KYD5EKQHYMKW2WEWAPFWH7RE

Run Details

Duration:
27.2s
Cost:
$0.020639
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
96.97% Dialogue to Total Word Ratio (details)
78.6245% 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
The getaway van smelled faintly of bologna sandwiches and desperation. "Okay, walk me through it again. We are stealing from a six-year-old?" Bill unfolded the crumpled invitation he had lifted from the recycling bin. "Technically we are stealing from twelve six-year-olds. It's Timmy's birthday. His mom went absolutely overboard. There's a mountain of presents." Molly stared at the glitter-covered invitation like it might explode. "Bill, we used to rob banks. Actual banks. With vaults and guards and dignity." "And what did that get us? The van still smells like bologna. The kid's got a PS5, two scooters, and what I think is a genuine Lego Death Star. No guards." He tapped the hand-drawn map showing the bounce house and the juice box station. "There are literally going to be clowns. And parents. Judgy suburban parents." "Perfect cover. You distract the clown, I grab the loot. Operation Pinata Smash is foolproof." Molly leaned over the steering wheel, groaning. "Last time you said foolproof we got stuck in a petting zoo overnight. I still have goat trauma." "That goat was an inside job. Focus. The presents are in the living room. We enter through the side gate during musical chairs." The van's radio crackled with a children's birthday playlist someone nearby was blasting. "So what's the plan for the actual kids? You can't just push a six-year-old out of the way." "We won't. We'll blend in. I bought us costumes." He revealed two crumpled outfits from the back seat, one sparkly unicorn and one saggy dinosaur. "You want me, Molly Malone, master safecracker, to wear a unicorn suit to steal a Lego set?" "It's not just Lego. It's fiscal freedom. And yes, you sparkle. Literally. I added extra glitter." Molly sighed and zipped up the unicorn suit. It squeaked. "Fine. But if anyone asks me to do a balloon animal, I'm robbing their college fund too." "Deal. Remember, we go in on three. One, two..." A child screamed with joy from the house next door. "Bill, that's not Timmy's house. That's the cops' kid. The cop who arrested us last time." "Right. So we get extra time? He'll be at work protecting Timmy's PS5?" Molly pulled off the unicorn horn and threw it at him. "We are aborting. We are not stealing from children in front of a cop's house while dressed like rejected mascots." "Okay, okay. But can we at least keep the cake? I heard it's chocolate." Outside, the bounce house deflated with a sad, long wheeze. "You get me real loot next time. Banks, museums, anything with adults who can afford to lose stuff." "Promise. But I'm keeping the unicorn suit. It really brings out my eyes." They drove away slowly, glitter trailing behind the van like criminal fairy dust. "So... still hungry for bologna?" "I will stab you with this plastic horn." And she probably would have, if the horn hadn't been so squeaky and pathetically cute. "Love you too, partner." He grinned as sirens wailed nowhere near them. "Drive, moron, before the clown finds us." "Yes ma'am." "And stop eating my sandwich."
created_at"2026-07-25T17:34:00.952Z" 7/25/2026, 5:34:00 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24145
moderation_latency(null)
generation_time27154
tokens_prompt75
tokens_completion765
native_tokens_prompt225
native_tokens_completion4790
native_tokens_completion_images0
native_tokens_reasoning4062
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"auto"
usage0.02063875
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f389fde8bec852b94fd7"
is_byokfalse
latency819
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785000840-9hHAZZ7jXbJji0usNQ8J"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000840-HWsKEqE9KgvEOn4U3nfS"
upstream_id"resp_6a64f389fde8bec852b94fd7"
total_cost0.02063875
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words515
96.97% Dialogue to Total Word Ratio
Ratio: 69.22%, Deviation: 0.78%
neededCleanfalse
wordsTotal523
wordsDialogue362
78.6245%