Run: 2026-10-13-01M4TAXNDWJ16AW7BM9Y3EKEW7

Run Details

Duration:
14.4s
Cost:
$0.060472
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
The afternoon sun hammered the tiny suburban street while two suspicious figures crouched behind an enormous inflatable flamingo across from number forty-two. Molly adjusted her binoculars and studied the garden where balloons bobbed, children screamed joyfully, and a mountain of wrapped presents glittered beside a chocolate fountain. Bill tugged her sleeve and whispered, “Pass the cake knife, Molly, we strike at noon.” Molly rolled her eyes so hard that her fake moustache nearly slipped into the lemonade she had stolen earlier from a passing toddler. She grinned and replied, “Only if you wear the clown nose again, darling.” Bill groaned, remembering last summer’s disastrous petting zoo robbery, the honking incident, three furious grandmothers, and a vengeful pony that still appeared in his nightmares whenever church bells rang. Their plan, scribbled on a napkin stolen from the ice-cream van, involved disguises, distraction jelly, one trained ferret named Kevin, and impeccable timing during musical chairs. When the music stopped, they would swoop inside, swap every present for identical boxes containing socks, and escape through the bouncy castle tunnel before anyone noticed anything except suspiciously disappointed birthdays. Bill nodded solemnly. “Deal.” Molly pocketed the binoculars, straightened Kevin’s tiny balaclava, and whispered, “Perfect,” triumphantly.
created_at"2026-10-13T09:53:55.655Z" 10/13/2026, 9:53:55 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2137
moderation_latency(null)
generation_time14341
tokens_prompt75
tokens_completion417
native_tokens_prompt68
native_tokens_completion3010
native_tokens_completion_images0
native_tokens_reasoning2652
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"
usage0.060472
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791885235-GhN8knkWQKG49os9WL3Z"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791885235-5HsddSmb9g9NHfXnfdMG"
upstream_id"resp_6acdffb4d811fb9694f74287"
provider_responses
0
endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdffb4d811fb9694f74287"
is_byokfalse
latency629
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.060472
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: 9.90%, Deviation: 0.10%
neededCleanfalse
wordsTotal202
wordsDialogue20
100.0000%