Run: 2026-07-25-01KYD6DT080TNDK8JMM7KTXGKC

Run Details

Duration:
9.3s
Cost:
$0.006559
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
79.31% Dialogue to Total Word Ratio (details)
89.0110% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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, remind me again why we're robbing a six-year-old?" Bill whispered. "Because, Bill, little Timmy's pile of presents is worth more than the bank job," Molly hissed. "Right, but it's a kids party, there's gonna be clowns, balloons, screaming." "Exactly, perfect cover, nobody suspects two adults in clown makeup." "Wait, we have clown makeup? You didn't mention clown makeup." "I bought it, extra large shoes, red noses, everything, it's foolproof." "Foolproof? Last time you said foolproof we got stuck in a bouncy castle for three hours." "That was reconnaissance, this time we walk in, grab the Paw Patrol tower and run." "What about the parents? And the actual clown they hired?" "We tell them we're the backup clowns, support clowns, emotional support clowns." "Oh god, Molly, there's a mom staring right at us." "Quick, act natural, juggle something, juggle your guilt about stealing from children." "I can't juggle, I'm having a moral crisis here." "Save it, grab the loot, I want that blue bicycle." "Fine, but if we get caught, you're explaining to my mother why I'm in jail for stealing Legos," Bill muttered. "Mother? Please, you'll be a legend, the Hamburglar of birthdays."
created_at"2026-07-25T17:51:03.182Z" 7/25/2026, 5:51:03 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7919
moderation_latency(null)
generation_time9188
tokens_prompt75
tokens_completion302
native_tokens_prompt225
native_tokens_completion1477
native_tokens_completion_images0
native_tokens_reasoning1184
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"
usage0.0065585
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f78726761e2a8c8242a9"
is_byokfalse
latency353
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-1785001863-4q93s1uxrMOkSnBuZY05"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001863-keFl6UFym7y6fYw82HWm"
upstream_id"resp_6a64f78726761e2a8c8242a9"
total_cost0.0065585
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
98.71% Matches word count n/a
neededCleanfalse
words194
79.31% Dialogue to Total Word Ratio
Ratio: 96.94%, Deviation: 6.94%
neededCleanfalse
wordsTotal196
wordsDialogue190
89.0110%