NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-11-11-01M754C2J03Q803YD1STSK6N7Q
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
6.6s
Cost:
$0.001873
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
Messages
Meta
AI
Molly tugged at her cardboard mustache while Bill squeezed into a clown suit two sizes too small for his optimistic shoulders. They hid behind a wilting balloon arch outside the community hall, watching toddlers wobble past with juice boxes and sticky fingers. "The plan is simple: we pop in, grab every present, and vanish before cake," Molly whispered. "What about the seven tiny witnesses?" Bill hissed. Molly pointed toward the door where a birthday banner sagged over a table overflowing with lopsided toys. Inside, a magician in star spangled pants dropped his wand into a bowl of noodles and blamed a very confused raccoon. Bill practiced his juggling with three suspiciously heavy muffins, sneezing whenever powdered sugar drifted toward his nose. Molly charted escape routes across a napkin, marking the bouncy castle, the sticker station, and the punch table guarded by a volunteer in a concerned apron. Their getaway vehicle, a borrowed wagon, waited nearby with one wobbly wheel and a squeaky handle that cursed every bump. Still, confidence glowed. If they timed their entrance between pinata swings, they could load the wagon quietly, then roll away during the inevitable diaper emergency. Nobody would suspect cartoonish adults sprinting like tricycles.
created_at
"2026-11-11T11:02:30.214Z"
11/11/2026, 11:02:30 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2150
moderation_latency
(null)
generation_time
6544
tokens_prompt
75
tokens_completion
428
native_tokens_prompt
69
native_tokens_completion
3733
native_tokens_completion_images
0
native_tokens_reasoning
3363
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.0018734
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394950-OhlHpqA0RQe62AhIUdK9"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394950-S2HOhMBFc4QNKlcg9PYz"
upstream_id
"resp_6af44b47dd5f7e4013b24f7d"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44b47dd5f7e4013b24f7d"
is_byok
false
latency
1081
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0018734
cache_discount
(null)
upstream_inference_cost
0
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
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%