Run: 2026-10-13-01M4TAKV3B8BTFWPHE47D830SS

Run Details

Duration:
26.3s
Cost:
$0.049612
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 crouched behind the garden hedge, binoculars upside down, watching balloons bob above the fence while Bill struggled silently with a party hat elastic under his chin. "Right, when the musical chairs starts, we slip through the kitchen, grab every present, and vanish before the cake appears looking innocent." Bill nodded solemnly, then sneezed glitter from the craft table across the lawn. "Brilliant, except I cannot feel my face, this clown nose smells like soup, and the getaway tricycle has one wobbly wheel again." Molly produced a map drawn in crayon, stolen earlier from the fridge door that very morning. "We avoid the bouncy castle, dodge the magician, bribe the goldfish with crackers, and never ever make eye contact with Grandma." Somewhere inside, twenty children screamed happily at a piƱata shaped like a suspiciously familiar police car. "Question, do we wrap ourselves as presents, or do we hide inside the giant cake and hope nobody orders chocolate surprise today?" Molly considered this gravely, adjusting her fake moustache, which was actually a caterpillar sleeping peacefully. A whistle blew inside, chairs scraped, and both thieves froze like guilty gnomes. "Then we strike, grab the loot, and pedal gloriously into legend, my friend."
created_at"2026-10-13T09:48:33.782Z" 10/13/2026, 9:48:33 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2492
moderation_latency(null)
generation_time26261
tokens_prompt75
tokens_completion397
native_tokens_prompt68
native_tokens_completion2467
native_tokens_completion_images0
native_tokens_reasoning2111
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"
usage0.049612
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791884913-u0zUT3ON0jw9TVwZ7ziC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791884913-Vpkcl6HuA767m4vrSpdt"
upstream_id"resp_6acdfe72e348e9cded6745e0"
provider_responses
0
endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdfe72e348e9cded6745e0"
is_byokfalse
latency850
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.049612
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%