Run: 2026-07-25-01KYD6AHT7MVZQCNT7XJJCEW84

Run Details

Duration:
19.3s
Cost:
$0.015428
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 spread the blueprint across the van dashboard, revealing a bouncy castle, a cake table, and a suspiciously large pile of brightly wrapped boxes. "Okay Bill, remind me why we're robbing a six-year-old?" Molly whispered, squinting at the security detail listed as two moms with juice boxes. Bill adjusted his clown wig nervously. "Because little Timmy's getting a PlayStation Five, and the market value is insane," Bill said. "Plus, nobody suspects the entertainment." Molly snorted. "You call that disguise entertainment? You look like a depressed Ronald McDonald." "And you look like a magician who lost a bet," Bill hissed. "Do you even have a plan for the presents?" "Simple. You distract them with balloon animals while I bag the LEGO sets. Then we escape before the pinata explodes." "That sounds surprisingly competent for stealing from children." "We have standards, Bill. Low, flexible, deeply embarrassing standards even right now today unfortunately." The van smelled faintly of desperation, old french fries, and latex balloons, which seemed appropriately tragic for their criminal career choices. Outside, children screamed joyfully, oblivious to the two highly unqualified masterminds plotting larceny over a crumpled Chuck E. Cheese map. Molly sighed. Bill nodded, still clutching squeaky balloon giraffes.
created_at"2026-07-25T17:49:16.494Z" 7/25/2026, 5:49:16 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
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cancelledfalse
latency18118
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generation_time19247
tokens_prompt75
tokens_completion339
native_tokens_prompt225
native_tokens_completion3564
native_tokens_completion_images0
native_tokens_reasoning3265
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"
usage0.01542825
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f71caa3b0f9837894c6e"
is_byokfalse
latency277
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-1785001756-R2kQa7ukExFYv5SNritF"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001756-Ax9yoIjf5ZnDe4FoMKtH"
upstream_id"resp_6a64f71caa3b0f9837894c6e"
total_cost0.01542825
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: 50.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal202
wordsDialogue102
99.9997%