Run: 2026-09-03-01M1K4YS01FX06BYBV9FDGFBJV

Run Details

Duration:
23.4s
Cost:
$0.023800
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 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 seriously going to steal presents from a children's birthday party?" Bill whispered. "Bill, those kids get mountains of plastic junk they won't even notice is gone," Molly replied. "That's exactly why we shouldn't steal them, it's six-year-olds, Molly, they'll cry," Bill said. "They'll cry anyway when the clown shows up, we just wear clown suits and blend right in," Molly grinned. "Wait we own clown suits now actually?" "Borrowed them from my cousin, totally legitimate unless you ask him," Molly said. "So the plan is we sneak through the side yard during cake time together?" "Exactly, you grab the table, I grab the giant pile by the bounce house, we run," Molly whispered. "What about the parents, they will definitely chase us down?" "Who chases clowns, Bill, everyone just assumes we're the entertainment," Molly laughed. "This feels immoral even for us, stealing Legos and dolls from little Timmy?" "Think of it as redistributing joy, we need rent money more than Timmy needs another truck," Molly insisted. "Fine I'm in, but if anyone asks I'm just the clown who got lost," Bill declared. "Perfect, remember don't open the presents till we're home, shaking is for amateurs," Molly warned.
created_at"2026-09-03T08:07:54.123Z" 9/3/2026, 8:07:54 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2596
moderation_latency(null)
generation_time23371
tokens_prompt75
tokens_completion324
native_tokens_prompt68
native_tokens_completion5589
native_tokens_completion_images0
native_tokens_reasoning5298
native_tokens_cached35
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"
usage0.02379975
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422874-BY4yw6eGlZQZTP9xPIYO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422874-i6Fya0RCOWvsKF5IcQ9V"
upstream_id"resp_6a992adaa732c9e0e49f4ca1"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992adaa732c9e0e49f4ca1"
is_byokfalse
latency2277
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.02379975
cache_discount0.0000385
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
100.00% Dialogue to Total Word Ratio
Ratio: 90.10%, Deviation: 0.10%
neededCleanfalse
wordsTotal202
wordsDialogue182
100.0000%