Run: 2026-11-11-01M753P26GQN66PPV0KWD4DNHR

Run Details

Duration:
6.2s
Cost:
$0.002006
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 adjusted her disguise while Bill studied the invitation through binoculars behind the hedge. The birthday house glittered with balloons, banners, and an unusually suspicious amount of cake. "We go in as clowns, grab the presents, and leave before anyone notices." Bill said. "I cannot be a clown. I fear balloons, clowns, and children who know magic." Molly rolled her eyes and pointed at the pile of wrapped boxes stacked by the door. "Then you carry the loot while I distract the parents with a fake cake." Bill whispered nervously. "What if they ask for a magic trick and we only know one?" She grinned and pulled a rubber chicken from her coat. "Then we do the chicken trick, which always works, surprisingly, every single time." Bill stared at the party poppers and whispered again. "Last time it failed and a toddler chased us screaming for pudding." Molly tapped the invitation and explained the plan in perfect detail. "We sneak in, stack presents on a trolley, and wheel them out innocently." Bill nodded slowly despite his obvious growing terror. "Fine, but I keep the biggest present then." Molly agreed, then both thieves advanced toward the house giggling very nervously together.
created_at"2026-11-11T10:50:28.95Z" 11/11/2026, 10:50:28 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1514
moderation_latency(null)
generation_time6154
tokens_prompt75
tokens_completion316
native_tokens_prompt69
native_tokens_completion3999
native_tokens_completion_images0
native_tokens_reasoning3723
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"
usage0.0020064
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394228-4iCQKEJfQ7MPCYeWt4VR"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394228-DkTCTr4GkaxerncZurv4"
upstream_id"resp_6af448758fd5fd0241f24da6"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af448758fd5fd0241f24da6"
is_byokfalse
latency725
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0020064
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%