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Run: 2026-11-11-01M754TWT6RSBVT6HQVD0N9YK4
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
9.3s
Cost:
$0.002708
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 90% 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 whispered very seriously, "Okay, Bill, tomorrow at two we hit Timmy's seventh birthday party. The loot will be a giant pile of wrapped presents sitting right next to the cake table, and nobody will suspect us at all today." Bill whispered back nervously, "My cousin Kevin desperately wants that giant plastic dinosaur, so that one is definitely mine for our brilliant escape plan, but what about the bouncy castle guard because he looks too professional for a children's party." Molly said with confidence, "That guard is seven year old Tyler, and we can easily bribe him with one single gummy worm, which we will steal from the snack bowl before the party even officially starts tomorrow in broad daylight." Bill replied with excitement, "Then we disguise ourselves as exhausted parents, grab every present while everyone sings Happy Birthday, and escape using a wagon pulled by that man's golden retriever who has been staring at us since last Tuesday afternoon." Molly concluded grinning widely, "Perfect. Remember, absolutely no talking, no tripping over decorations, and definitely no eating the cake before we leave, because that would be completely unforgivable and ruin our entire vacation to Mexico with our stolen treasure tonight."
created_at
"2026-11-11T11:10:35.855Z"
11/11/2026, 11:10:35 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2523
moderation_latency
(null)
generation_time
9289
tokens_prompt
75
tokens_completion
447
native_tokens_prompt
69
native_tokens_completion
5402
native_tokens_completion_images
0
native_tokens_reasoning
5030
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
0.0027079
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395435-3h6MUM44Qtj2nlrGwvWK"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395435-lEYLaVvM51pHOSlveqSj"
upstream_id
"resp_6af44d2dca91faea84c04903"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44d2dca91faea84c04903"
is_byok
false
latency
1794
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0027079
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%