Run: 2026-07-25-01KYD611JVJ6RVJF6488A5RH39

Run Details

Duration:
18.9s
Cost:
$0.013915
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9989% 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 dashboard, revealing a crayon map of Timmy's backyard stolen magnetically from his refrigerator. Bill squinted at the glitter-covered entrance marked with stickers and a large X labeled presents. "Are we seriously stealing birthday presents from screaming six-year-olds?" Bill asked. "Absolutely, those limited edition Lego sets fund our tropical retirement plan." Molly replied. Their getaway driver was a bored teenager hired with pizza coupons and empty promises of adventure. The security system was reportedly a very angry mother armed with a spatula and unlimited juice boxes. Molly tapped the bouncy castle, which according to legend contained the mountain of loot and at least three capri-sun-related booby traps. Bill adjusted his clown disguise, which squeaked dangerously every time he breathed or considered retirement. The plan required infiltrating the magician's act, swapping the gift pile with empty boxes, and escaping via the sprinkler trench without getting soaked. Molly whispered the final step involved loudly crying until someone offered cake, a surprisingly effective distraction technique for hardened criminals. They nodded solemnly, bumped squeaky noses, and prepared to commit the most shameful felony of their entire ridiculous careers. Outside, children screamed with joy, completely unaware of impending present-related doom.
created_at"2026-07-25T17:44:04.965Z" 7/25/2026, 5:44:04 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency17709
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generation_time18790
tokens_prompt75
tokens_completion349
native_tokens_prompt225
native_tokens_completion3208
native_tokens_completion_images0
native_tokens_reasoning2939
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"
usage0.01391525
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f5e5f891cd3cc99f4ce2"
is_byokfalse
latency232
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-1785001444-VMWwgrBvS5A98ibKSUmV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001444-GdTaQYdigti8IzVEGYUe"
upstream_id"resp_6a64f5e5f891cd3cc99f4ce2"
total_cost0.01391525
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: 10.68%, Deviation: 0.68%
neededCleanfalse
wordsTotal206
wordsDialogue22
99.9989%