Run: 2026-09-03-01M1K572PJHHQ3WZ74AEG6TMHF

Run Details

Duration:
15.3s
Cost:
$0.011186
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
98.34% Dialogue to Total Word Ratio (details)
99.1708% 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 whispered, "Bill, remind me again why we're robbing a six-year-old's birthday party?" Bill adjusted his ski mask. "Because little Timmy's getting a PS5, Molly. And Legos. So many Legos." "Bill, that's a clown outside. A real clown." "Perfect, that's our distraction. You distract the clown, I grab the presents." "Me? Distract the clown? I am terrified of clowns!" "You're a professional thief! Since when are you scared of clowns?" "Since always! You know this! Why can't you distract the clown?" "Because I'm allergic to balloon animals. You know this!" Molly sighed. "Fine. So the plan is we sneak past the bouncy castle, ignore the screaming children, and steal gift bags?" "Exactly. In and out. Nobody suspects two adults at a kids' party." "Bill, we're wearing ski masks at a sunny park." "Okay, new plan. We pretend we're entertainers." "Oh great, what do we entertain with?" Bill paused. "Uh, interpretive gift-stealing dance?" Molly stared. "Bill, that is the dumbest idea you've ever had." "Hey, it worked at the zoo!" "We got chased by a penguin at the zoo!" "And we got away, didn't we? Trust the dance, Molly." "Fine, but if that clown honks at me, I'm stealing his car."
created_at"2026-09-03T08:12:26.201Z" 9/3/2026, 8:12:26 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2767
moderation_latency(null)
generation_time15234
tokens_prompt75
tokens_completion318
native_tokens_prompt68
native_tokens_completion2612
native_tokens_completion_images0
native_tokens_reasoning2286
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"
usage0.011186
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423146-JbykZyHZU4aApdzG1c2s"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423146-tYLXDdfTp3aZvZWAORIT"
upstream_id"resp_6a992bea8e15680e1a6f4b8a"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992bea8e15680e1a6f4b8a"
is_byokfalse
latency468
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.011186
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
words200
98.34% Dialogue to Total Word Ratio
Ratio: 93.60%, Deviation: 3.60%
neededCleanfalse
wordsTotal203
wordsDialogue190
99.1708%