Run: 2026-09-03-01M1K5QYWAFAAKF3JRPZAHC2SH

Run Details

Duration:
1m 52s
Cost:
$0.034106
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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
The van smelled like old fries and bad decisions as Molly spread the birthday flyer across the dashboard. "We are stealing from a seven year old and I feel zero shame about it." Bill adjusted his clown wig in the mirror and grinned like this was his dream job. "Relax, it is a dinosaur party, security will be three moms and a sleepy grandpa." Molly circled the address with a red marker and underlined the words gift table twice. "Good, because last time you cried when a bouncy castle beat you in a fair fight." Bill clutched his chest in mock offense while a minivan full of balloons rolled past them. "That castle was rigged and you know it, plus I want that robot dinosaur thing." Molly pulled two party hats from her bag and tossed one at his oversized clown nose. "Rule one, we blend in, rule two, we grab presents, rule three, no cake until getaway." Bill jammed the hat onto his wig and saluted so hard he nearly poked out his eye. "Deal, but if there is chocolate frosting I am risking prison for a second slice." Outside the community center kids screamed with joy as a magician twisted impossible balloon animals. "Distraction starts at three, you fake cry by the punch bowl and I swipe the loot." Molly nodded slowly, already picturing towers of bright boxes tied with curly ribbons. "What if a kid catches us, do we run, or do we pretend to be hired entertainment?" Bill opened the trunk to reveal duffel bags, confetti cannons, and a stolen magician cape. "We juggle badly, parents feel sorry for us, then we vanish with the birthday haul." Molly laughed so loud a passing clown stared, which only made her laugh even harder. "Focus Molly, those presents are college funds in wrapping paper, stay ruthless and hungry." Bill checked his watch, counted three minivans, and whispered that showtime was almost here. "Remember the plan, in through the side door, out before they sing happy birthday twice." Molly slipped on sunglasses despite the clouds and practiced her best overwhelmed aunt smile. "I will compliment the cake, cry about how fast they grow, then block the hallway." Bill practiced his sad clown pout in the side mirror until a child waved at him. "Kids love me, I am basically a giant toddler with back pain and poor impulse control." Molly handed him a gift bag to carry as cover while she grabbed the walkie talkies. "Once inside we fill the bags fast, no reading cards, no shaking for clues, just grab." Bill nodded seriously, then immediately shook a nearby present when Molly looked away briefly. "Sorry, old habits, that one felt like LEGOs and my heart made an executive decision." They bumped fists over the dashboard as music thumped from the party and frosting scent drifted toward the van slowly. "After this score we retire, open a bakery, and never steal birthday candles ever again maybe honestly today friends."
created_at"2026-09-03T08:21:39.344Z" 9/3/2026, 8:21:39 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency13591
moderation_latency(null)
generation_time111869
tokens_prompt75
tokens_completion738
native_tokens_prompt68
native_tokens_completion8005
native_tokens_completion_images0
native_tokens_reasoning7353
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"
usage0.03410625
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423699-13gsA3QQUsi05W1cY1Cs"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423699-D9obnID3bWhGDFIaswAE"
upstream_id"resp_6a992e1d8a0c457cb2ae4240"
provider_responses
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endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992e1d8a0c457cb2ae4240"
is_byokfalse
latency10473
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.03410625
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words500
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue250
100.0000%