Run: 2026-07-25-01KYD679F197XYGRWAEX9V055F

Run Details

Duration:
15.3s
Cost:
$0.011157
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9997% 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 pressed her binoculars against the van window, watching the bouncing castle wheeze. "We need a better plan than last time," she said. Bill unwrapped a juice box with his teeth. "Last time worked fine until the clown cried," he said. "That was a federal agent disguised as a clown," Molly hissed. "Still cried a lot," Bill said. Molly pointed at the pile of presents on the picnic table, wrapped in dinosaurs and glitter. "There are at least twenty gifts there, all untouched, all expensive," she whispered. "So we walk in as entertainers?" Bill asked. "Exactly, you are Mr. Balloon and I am Mrs. Cake," Molly said. "I hate balloons," Bill groaned. "You love larceny more," Molly said. Bill stared at the yard full of screaming six-year-olds. "Do we really have to steal from kids?" he asked. "Bills, the adult kind," Molly said. "Fifty percent cut if I have to wear face paint," Bill said. "Deal, now inflate your ego and your balloons," Molly said. The sprinkler sputtered, soaking a unicorn piƱata that glared judgmentally at their suspiciously unmarked white van. Bill sighed, already tangling himself in colorful latex. "Let's steal childhood joy efficiently today, partner," Molly said together now.
created_at"2026-07-25T17:47:29.642Z" 7/25/2026, 5:47:29 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
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latency14022
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generation_time15143
tokens_prompt75
tokens_completion308
native_tokens_prompt225
native_tokens_completion2559
native_tokens_completion_images0
native_tokens_reasoning2268
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"
usage0.011157
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f6b1bdd9403d60e04099"
is_byokfalse
latency299
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-1785001649-HJQ4bMbtLvc2n7aKp4Nl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001649-Ke6dzm0pHLDvXec8gNmE"
upstream_id"resp_6a64f6b1bdd9403d60e04099"
total_cost0.011157
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
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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: 49.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal202
wordsDialogue100
99.9997%