Run: 2026-11-11-01M753F6DZZQ7W8E12DCB2V2A8

Run Details

Duration:
6.9s
Cost:
$0.001711
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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 rehearsed her evil laugh in the bushes while Bill tried to squeeze a rolling suitcase through the back door of the community hall. Inside, balloons bobbed and children shrieked over a mountain of presents stacked beside one enormous birthday cake. Molly said, "We sneak in at three." Bill, sweating inside a borrowed fairy princess dress, replied, "The parents will be busy." Molly nodded and pointed toward the window where a clown juggled rubber chickens dangerously close to the treasure. Molly said, "We grab every present." Bill whispered, "Even the pink bicycle." Molly grinned and checked her getaway shopping cart shaped like a dragon. Bill added, "Pink rocks." Both thieves agreed that stealing from toddlers required precision, courage, and absolutely no moral compass whatsoever because they were complete disasters with terrible timing and worse disguises that fooled absolutely nobody except perhaps the goldfish watching from its bowl nearby somehow. They practiced tiptoeing over empty juice boxes while debating whether the giant stuffed dinosaur counted as one present or two and whether the bouncy castle could somehow fit inside the dragon cart for their daring escape. Bill insisted the dinosaur was legally a friend, not loot, and volunteered to carry it.
created_at"2026-11-11T10:46:43.91Z" 11/11/2026, 10:46:43 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1690
moderation_latency(null)
generation_time6872
tokens_prompt75
tokens_completion422
native_tokens_prompt69
native_tokens_completion3409
native_tokens_completion_images0
native_tokens_reasoning3056
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"
usage0.0017114
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394003-X3EnJSSTZQbw8B9Mmm8D"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394003-edbTu72efVUpblGoNjDf"
upstream_id"resp_6af447940dd1ddce4f854fe6"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af447940dd1ddce4f854fe6"
is_byokfalse
latency553
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0017114
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
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%