Run: 2026-07-25-01KYD5Q4JT8VC9M8MP976M3VME

Run Details

Duration:
18.8s
Cost:
$0.013456
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9906% 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
"Okay, so the target is a six-year-old's birthday party," Molly said. "Right. High security, huh?" Bill replied. "Extreme. There's a clown, a bouncy castle, and at least four moms with juice boxes." "Juice boxes? We didn't train for juice boxes." "We trained for lasers, Bill. This is worse. Capri-Sun moms have eyes everywhere." "What's the loot?" "Presents. Mountain of them. Legos, bikes, probably a Nintendo Switch with sticky fingerprints." "So we go in disguised as... entertainers?" "Exactly. You are Mr. Wiggles the Magician." "I hate kids." "Perfect, they hate you back. You'll fit right in." "And you?" "I'll be the face painter. I'll cause a distraction. You grab the pile." "What if they want balloon animals?" "Make them. Badly. Cause panic." "Genius. What about the birthday boy?" "Bribe him with cake." "What if he cries?" "Then we cry louder. No one suspects crying adults." Molly grinned, adjusting her glittery smock. "Remember, in and out, sixty seconds, nobody gets frosted." "Got it. And if we get caught?" Bill swallowed hard, staring at the rainbow invitation. "We tell them we're his uncles. Creepy, disappointed uncles." "Perfect plan." Molly winked. "Let's steal some joy." Bill sighed, "For the kids? No, for Legos. Absolutely. Let's go."
created_at"2026-07-25T17:38:40.353Z" 7/25/2026, 5:38:40 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
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latency17657
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generation_time18674
tokens_prompt75
tokens_completion323
native_tokens_prompt225
native_tokens_completion3100
native_tokens_completion_images0
native_tokens_reasoning2770
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"auto"
usage0.01345625
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f4a0537dca26410642a3"
is_byokfalse
latency242
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-1785001120-ZsObfR377wuzN6kYiU0L"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001120-8nYdQicxxLvIkrG4GCPN"
upstream_id"resp_6a64f4a0537dca26410642a3"
total_cost0.01345625
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upstream_inference_cost0
provider_name"Meta"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
100.00% Dialogue to Total Word Ratio
Ratio: 89.27%, Deviation: 0.73%
neededCleanfalse
wordsTotal205
wordsDialogue183
99.9906%