Run: 2026-07-25-01KYD7WKZKYPPMJXTWX208NQ2Y

Run Details

Duration:
21.6s
Cost:
$0.014612
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 50% 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 crayon-drawn floor plan across the getaway car, which still smelled faintly of stolen churros. Bill adjusted his squeaky clown shoes, already regretting every life choice that led to this driveway. The suburban house pulsed with screaming children and a bouncy castle wheezed like an asthmatic elephant. Through the window they saw it, the glittering mountain of presents stacked higher than the birthday boy himself. Molly checked her watch. The magician was late. Their window was open. Bill took a deep breath, inhaling latex and desperation. Their plan was stupid, immoral, and absolutely perfect for professionals like us. "This is our lowest moment and also our richest." "We are literally stealing from a seven-year-old named Kevin." "Correction, we are liberating Paw Patrol merchandise for resale." "What's the plan if the kids recognize us?" "We cry harder than they do. Adults always panic then." "I cannot make balloon animals. I make balloon tragedies." "Just twist something and call it modern art, genius." "Fine. How do we carry fifty presents unnoticed?" "We use the bouncy castle deflation as cover. Grab and dash." "I hate that this might actually work." "Relax, destiny favors the desperately idiotic like us." "Let's go, clown."
created_at"2026-07-25T18:16:37.113Z" 7/25/2026, 6:16:37 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20226
moderation_latency(null)
generation_time21501
tokens_prompt75
tokens_completion323
native_tokens_prompt225
native_tokens_completion3372
native_tokens_completion_images0
native_tokens_reasoning3078
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"
usage0.01461225
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64fd8578c4d75360234597"
is_byokfalse
latency303
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-1785003397-JuDZxQeaaqA1q7HgkL9C"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785003397-wuZCrpA9bhkaJP1OeHL2"
upstream_id"resp_6a64fd8578c4d75360234597"
total_cost0.01461225
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: 50.25%, Deviation: 0.25%
neededCleanfalse
wordsTotal203
wordsDialogue102
100.0000%