Run: 2026-09-03-01M1K4RJNSNTCKJN6X4C3GWKHB

Run Details

Duration:
25.6s
Cost:
$0.019797
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
66.26% Dialogue to Total Word Ratio (details)
83.1276% 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, are we really going to rob a children's birthday party?" Bill whispered. "Absolutely, Bill, that's where the untouched presents are piled higher than the cake," Molly replied. "Isn't stealing from kids a new low, even for us?" "Think of it as redistributing unopened toys to people who appreciate resale value." "How do we get past all those parents without looking creepy?" "We dress as entertainers. Nobody questions a clown with a big bag." "I hate clown makeup. My nose itches for days." "Tough luck. You distract the magician while I grab the gift table near the bounce house." "What if a kid starts crying? I fold under pressure from toddlers." "Just make a balloon dog and sprint. We're professionals, remember?" "Professionals who steal LEGOs and action figures?" "Hey, a score's a score, no matter how small the victims are." "Fine, but if a mom with a juice box tackles us, I'm telling everyone it was your idea." "You always say that, and you always follow me anyway." "Do we at least get cake after?" "Only if we don't get caught, Bill. Now fix your red nose." "Ridiculous pays the rent, now come on, the presents aren't going to steal themselves."
created_at"2026-09-03T08:04:31.04Z" 9/3/2026, 8:04:31 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2668
moderation_latency(null)
generation_time25594
tokens_prompt75
tokens_completion312
native_tokens_prompt68
native_tokens_completion4638
native_tokens_completion_images0
native_tokens_reasoning4348
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"
usage0.0197965
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422671-XWoaoeHe7D5sqW08pUqp"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422671-FLhhb1bo0h8dqL38GSmp"
upstream_id"resp_6a992a0fea17c1ea790c45f2"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992a0fea17c1ea790c45f2"
is_byokfalse
latency542
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.0197965
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
words201
66.26% Dialogue to Total Word Ratio
Ratio: 98.01%, Deviation: 8.01%
neededCleanfalse
wordsTotal201
wordsDialogue197
83.1276%