Run: 2026-07-25-01KYD5EA06RP3WAHH2RCSV49ED

Run Details

Duration:
14.5s
Cost:
$0.010779
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 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 blueprint across the hood of their getaway van, which was currently double-parked outside Chuckleland Party Palace. Bill squinted at the elaborate crayon markings labeling laser tag, ball pit, and mountain of presents. "We can't steal from kids, Bill," Molly whispered. "I know, but that giant LEGO castle is calling my name," Bill sighed. "Free juice boxes," he added. Their plan was absurdly complex for a suburban birthday heist, involving clown disguises, a distraction involving seventeen screaming second-graders hopped up on frosting, and a swift exit via the industrial kitchen. Molly tapped the emergency exit next to the cake table. The presents were stacked beside a sleeping magician who smelled faintly of rabbit. Bill had already purchased a too-small birthday hat and practiced looking innocent, which was difficult with his large tattoo reading PROPERTY OF MOM. She explained they would enter during musical chairs, grab the loot in a laundry sack labeled presents, and flee before the piƱata burst. It was immoral, ridiculous, and likely to end with glitter permanently embedded in their shoes, but for that castle, they were willing. They shook hands, donned squeaky noses, and marched toward destiny, frosting, and felony together at last.
created_at"2026-07-25T17:33:50.989Z" 7/25/2026, 5:33:50 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency13092
moderation_latency(null)
generation_time14179
tokens_prompt75
tokens_completion323
native_tokens_prompt225
native_tokens_completion2470
native_tokens_completion_images0
native_tokens_reasoning2197
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"
usage0.01077875
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f37f1d7d1a8666a34dcb"
is_byokfalse
latency254
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-1785000831-lZtD9Xc6kGOr5fkee6Hd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000831-1u6WG55lXfACgTl0uBlU"
upstream_id"resp_6a64f37f1d7d1a8666a34dcb"
total_cost0.01077875
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
100.00% Dialogue to Total Word Ratio
Ratio: 9.80%, Deviation: 0.20%
neededCleanfalse
wordsTotal204
wordsDialogue20
100.0000%