Run: 2026-11-11-01M753R01E7502TVR9010KEDZB

Run Details

Duration:
12.2s
Cost:
$0.003448
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 black balaclava while Bill tried to fit through the neighbor's dog door for the third time that evening. Their master plan to infiltrate Timmy's seventh birthday party required precision, patience, and absolutely no squeaky toy soldiers. "Tonight we enter through the laundry chute," Molly whispered. "And I will distract the clown," Bill promised. Bill had practiced his clown noises for weeks, which mostly sounded like a deflating balloon having an argument with a kazoo. "Perfect, steal all presents," Molly said. "Let's go," Bill said. Molly nodded solemnly and produced a tiny crowbar painted pink. They tiptoed across the damp garden toward a house glowing with balloons, banners, and what appeared to be an inflatable castle guarded by a very serious plastic flamingo. Inside, children shrieked with joy, adults chased runaway helium balloons, and the birthday boy prepared to make a wish that would probably involve dinosaurs eating the cake. Molly checked her watch, then her list, then her extremely illegal list of lists, because good heists always involved excellent paperwork and backup glitter glue. Bill whispered, "Ready," while Molly gripped the ladder, checked her pockets, and dramatically adjusted her cape for maximum sneaky effect in the moonlight.
created_at"2026-11-11T10:51:32.276Z" 11/11/2026, 10:51:32 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1549
moderation_latency(null)
generation_time12146
tokens_prompt75
tokens_completion339
native_tokens_prompt69
native_tokens_completion6883
native_tokens_completion_images0
native_tokens_reasoning6598
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"
usage0.0034484
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394292-YcB9m6TH0HSgvszA3sDo"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394292-3DWGBzSWTTiWbqyacAu3"
upstream_id"resp_6af448b4d3da2088ef9c4214"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af448b4d3da2088ef9c4214"
is_byokfalse
latency642
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0034484
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%