Run: 2026-11-11-01M7541SDQJMZ1T8Z5P57ZRXT0

Run Details

Duration:
5.1s
Cost:
$0.001328
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.84% Dialogue to Total Word Ratio (details)
99.9201% 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 adjusted her ski mask, which had unfortunately been knitted with eye holes for a llama. Bill adjusted his, which was actually a traffic cone with two holes poked through it. They crouched behind a hedge outside the community hall, watching balloons bob like nervous informants. Inside, children screamed with joy at a magician who kept pulling doves from his trousers. The presents table groaned under mountains of boxes wrapped in paper so bright it hurt their criminal eyes. Molly whispered, "The diversion is ready, but the magician keeps eating our backup doves." Bill replied: "Then we improvise, grab the loot, and run before the cake arrives." Bill nodded solemnly, as if agreeing to a treaty rather than a felony involving glitter and juice boxes. Molly produced a grappling hook, which was really a vacuum cleaner hose taped to a plunger. Their plan required stealth, timing, and exactly one adult who believed them to be clowns with excellent references. Molly would distract the parents by juggling the birthday cake, while Bill swapped the presents for empty boxes labelled suspiciously. Then they would vanish into the night, heroes of nobody, rich in wrapping paper and regret. Bill cracked his knuckles once.
created_at"2026-11-11T10:56:53.184Z" 11/11/2026, 10:56:53 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1555
moderation_latency(null)
generation_time5072
tokens_prompt75
tokens_completion356
native_tokens_prompt69
native_tokens_completion2642
native_tokens_completion_images0
native_tokens_reasoning2346
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"default"
usage0.0013279
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394613-M0OGX0rXiJ99Y3Czsbhv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394613-aK4qK7hBsN8Zmf7lXhe2"
upstream_id"resp_6af449f5970a6154056044fd"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af449f5970a6154056044fd"
is_byokfalse
latency659
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0013279
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.84% Dialogue to Total Word Ratio
Ratio: 12.00%, Deviation: 2.00%
neededCleanfalse
wordsTotal200
wordsDialogue24
99.9201%