Run: 2026-11-11-01M754J1912AMRBAZVF730Y2X9

Run Details

Duration:
17.8s
Cost:
$0.005326
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 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 adjusted her ski mask and Bill tangled his net around both shoes again for the third time that morning. "Bill, are you absolutely sure that ridiculous birthday party starts at exactly three pm and presents are already waiting outside?" Molly pointed toward the backyard where balloons bounced, children screamed, and a magician balanced seven plates on one trembling stick. "I promised my parole officer no kids parties until next spring, so this whole job feels extremely risky today indeed." Bill produced two paper crowns from his coat, placed one on his ski mask, and nodded like a tiny king. "Perfect disguise, because nobody will suspect two thieves wearing silly crowns and carrying very expensive nets at this wild party." Molly counted the presents stacked near the cake: a telescope, a dinosaur, and something wrapped in expensive purple paper today. "Then we grab everything while they sing Happy Birthday and chase the magician around the bouncy castle with great speed." Molly slipped a paper crown over her mask, tested her net, and whispered the plan one final time very softly. "Bill, on three we vanish like shadows, unless somebody offers cake, because cake ruins my professional focus every single time."
created_at"2026-11-11T11:05:45.511Z" 11/11/2026, 11:05:45 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency985
moderation_latency(null)
generation_time17737
tokens_prompt75
tokens_completion327
native_tokens_prompt69
native_tokens_completion10639
native_tokens_completion_images0
native_tokens_reasoning10372
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"
usage0.0053264
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794395145-aQOUopYqjz7hjvba70Hv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794395145-lNZxMG5YdGf5JiiEsFh8"
upstream_id"resp_6af44c090f3799721db840ff"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44c090f3799721db840ff"
is_byokfalse
latency676
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0053264
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: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%