Run: 2026-07-25-01KYD6T5WHKN8HDAJV1A91GACB

Run Details

Duration:
15.5s
Cost:
$0.011102
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.93% Dialogue to Total Word Ratio (details)
99.9629% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 map across the hood of their rusted getaway van, weighing down the corners with stolen juice boxes. The paper showed a suburban house, a bouncy castle labeled DEATH TRAP, and a large X over the living room marked LOOT. Bill stared, his clown disguise already smearing in the heat. "We're stealing from a seven-year-old's birthday?" Molly tapped the X with fierce seriousness. Her plan had always involved low expectations and high sugar locations. "Think bigger. It's twenty seven-year-olds." Bill adjusted his squeaky red nose, which honked mournfully. He had imagined vaults and lasers, not balloon animals and screaming. "That's morally worse somehow." She explained the logistics with the intensity of a general. They would enter through the side gate during pin the tail, infiltrate via the kitchen, and stuff every brightly wrapped box into a laundry bag labeled PINATA. "Unwrapped upstairs. Easy score, right?" In the distance, a magician made terrible rabbit jokes. Bill sighed, realizing this was the only heist where the getaway could be foiled by a Capri-Sun spill. Molly grinned, already picturing their fence paying in LEGO sets and leftover cake frosting. The birthday playlist began loudly, mercilessly looping Baby Shark forever again.
created_at"2026-07-25T17:57:48.568Z" 7/25/2026, 5:57:48 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14242
moderation_latency(null)
generation_time15434
tokens_prompt75
tokens_completion328
native_tokens_prompt225
native_tokens_completion2546
native_tokens_completion_images0
native_tokens_reasoning2254
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"
usage0.01110175
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f91c22bdf9a4f7b2443e"
is_byokfalse
latency420
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-1785002268-FFViXYrN7jJi0LoTIGHM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002268-ynvqkCUfCbMam6sDxKsQ"
upstream_id"resp_6a64f91c22bdf9a4f7b2443e"
total_cost0.01110175
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.93% Dialogue to Total Word Ratio
Ratio: 11.65%, Deviation: 1.65%
neededCleanfalse
wordsTotal206
wordsDialogue24
99.9629%