Run: 2026-11-11-01M75439FKMXTH9WVBFZY1XAC5

Run Details

Duration:
8.5s
Cost:
$0.002392
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 adjusted her balaclava, which was really a crooked birthday hat stolen from a charity bin yesterday afternoon. Bill stood beside her, sweating through a fake mustache and a suit jacket two sizes too small for dignity. Their target was Timmy's seventh birthday party at the park pavilion, where presents formed a vulnerable, glittering mountain. "We will be in and out before cake." The plan involved a borrowed wagon, a coat hanger grappling hook, and confidence borrowed from fictional criminals. "What about the clown?" Bill had prepared a distraction involving juggling oranges while humming loudly, which impressed nobody except his grandmother once. "He fears no one, except possibly balloons." Molly studied the bouncy castle, wondering aloud whether it could launch them, distract parents, or simply delay everyone politely. "Brilliant." He grinned with misplaced enthusiasm, gripping the wagon handles like a getaway driver in a very silly movie. Ahead, children shrieked, parents sipped juice boxes, and a clown twisted a balloon dinosaur that looked personally offended. Molly decided they would simply stroll in, smile bravely, claim to be Timmy's long lost Canadian aunt, and wheel away the loot before anyone remembered cake. It was terrible, which made it absolutely perfect indeed.
created_at"2026-11-11T10:57:42.392Z" 11/11/2026, 10:57:42 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1232
moderation_latency(null)
generation_time8161
tokens_prompt75
tokens_completion475
native_tokens_prompt69
native_tokens_completion4771
native_tokens_completion_images0
native_tokens_reasoning4379
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"
usage0.0023924
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394662-5MFEhN2xM1Buk6NsrXFC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394662-K32qyUWSnqaIVVhvcXfp"
upstream_id"resp_6af44a26cad4f18de0d64188"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44a26cad4f18de0d64188"
is_byokfalse
latency969
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0023924
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%