Run: 2026-07-25-01KYD80A6KR4S508P44XR0PTAZ

Run Details

Duration:
16.6s
Cost:
$0.011782
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9595% 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 blueprint across the van hood, revealing not a bank but Mrs. Henderson's backyard, complete with bouncy castle, clown, and a folding table labeled TARGET RICH. Bill squinted at the crayon-drawn Xs marking laser tripwires, which were actually garden hoses. The plan relied on disguises. Molly had acquired two enormous mascot costumes, one bear, one slightly deflated elephant. Bill tapped the elephant trunk. "We agreed no more jobs involving children or mascots." Molly grinned, adjusting her bear head. "Relax, it's just aggressive borrowing from very small rich people." Bill sighed. The real obstacle wasn't the clown, who was clearly ex-military based on his balloon-animal aggression, but the presents themselves, stacked like Fort Knox behind a juice-box moat. Their getaway driver, a teenager named Kevin, had already been bribed with cake. Molly checked her watch. The magician was about to start, providing perfect distraction. Bill zipped the costume, sweating instantly. He whispered through fiberglass. Operation Birthday Blitz was officially underway. Bill regretted everything as confetti cannons armed themselves. Molly waddled toward the gate, waving enthusiastically at terrified toddlers. He followed, trunk dragging, dignity abandoned, muttering "Fine." The clown stared, twisting a giraffe with unsettling precision like a warning tomorrow never comes quickly
created_at"2026-07-25T18:18:38.172Z" 7/25/2026, 6:18:38 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
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cancelledfalse
latency15134
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generation_time16566
tokens_prompt75
tokens_completion356
native_tokens_prompt225
native_tokens_completion2706
native_tokens_completion_images0
native_tokens_reasoning2407
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"
usage0.01178175
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64fdfec58836debdbb4487"
is_byokfalse
latency420
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-1785003518-qLxtkh1yBjWzOxSpbcgW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785003518-dYsiO5jjvOcQbHxc3LqI"
upstream_id"resp_6a64fdfec58836debdbb4487"
total_cost0.01178175
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words203
100.00% Dialogue to Total Word Ratio
Ratio: 9.71%, Deviation: 0.29%
neededCleanfalse
wordsTotal206
wordsDialogue20
99.9595%