Run: 2026-10-13-01M4T9VPGN1HE60QNEMR4M6JHX

Run Details

Duration:
12.5s
Cost:
$0.041472
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 spread the birthday party floorplan across the kitchen table, weighing down its corners with teacups, a stapler, and one extremely suspicious garden gnome. Bill studied the drawing while eating frosting straight from the tub, nodding like a general preparing troops for glorious battle. Molly whispered, “We enter through the bouncy castle, grab everything, then vanish.” Bill replied, “Brilliant, except I get stuck in inflatable things every time.” She produced photographic evidence from three previous burglaries, each showing Bill wedged helplessly in chimneys, dog doors, laundry chutes, and one regrettably narrow grand piano. They therefore revised the route through the garden gate, past the magician, beneath the dessert table, and directly toward the towering pile of wrapped presents beside the piñata. Their disguises were flawless in theory: Molly would pose as a balloon artist, and Bill would squeeze into a dinosaur costume stolen from the neighboring recycling bin. They rehearsed tiptoeing over scattered toys, dodging suspicious grandparents, silencing squeaky shoes with marshmallows, and distracting the birthday child using an interpretive dance about tax season. At noon tomorrow, Operation Gift Snatch would begin, assuming Bill survived one final practice bounce without requiring butter, firefighters, or an industrial winch. Molly felt ready.
created_at"2026-10-13T09:35:22.794Z" 10/13/2026, 9:35:22 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2275
moderation_latency(null)
generation_time12327
tokens_prompt75
tokens_completion425
native_tokens_prompt68
native_tokens_completion2060
native_tokens_completion_images0
native_tokens_reasoning1710
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"
usage0.041472
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791884122-wy3gpNQZ7PnQNXhGzwFQ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791884122-D2qU9ycJLM2YBEbe3taa"
upstream_id"resp_6acdfb5b1681fac9e5a6427f"
provider_responses
0
endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdfb5b1681fac9e5a6427f"
is_byokfalse
latency793
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.041472
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%