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Run: 2026-11-11-01M7545NR8CMM8DBR2AE4WX169
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.7s
Cost:
$0.003665
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 counted glitter on her fingers and whispered, "Okay, Bill, the plan is simple: we sneak into a birthday party, grab every present, and vanish before anyone notices us." Bill laughed nervously and replied, "What about the bouncy castle, the clown, and the children who fight like tiny professional wrestlers?" Molly grinned and answered, "Easy. I distract the clown with my legendary balloon animal skills and interpretive dance, you distract the parents by pretending your van broke down, and we both grab the loot while everyone screams about cake and pinatas. Then we escape through the garden before the party games resume." "And if the dog smells us, or the twins confront us, or someone notices we have zero invitations and suspiciously empty sacks, what then? We panic, surrender immediately, and blame the clown because he started this whole ridiculous caper yesterday. I refuse to clean glitter again this week." "Relax. We will look innocent, smell like sunscreen, and leave before the magician makes the presents disappear permanently. If anyone asks questions today, we say we are delivering a very important piano, then we run, scream, and never return to this neighborhood again. Pinkie promise, right, mate?" She winked decisively.
created_at
"2026-11-11T10:59:00.494Z"
11/11/2026, 10:59:00 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1593
moderation_latency
(null)
generation_time
10715
tokens_prompt
75
tokens_completion
504
native_tokens_prompt
69
native_tokens_completion
7317
native_tokens_completion_images
0
native_tokens_reasoning
6898
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
0.0036654
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394740-EYpYoE5TvnSBtmFeDjjA"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394740-9SW65A6JcZKcFeAQdpCZ"
upstream_id
"resp_6af44a75061679be22f841c9"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44a75061679be22f841c9"
is_byok
false
latency
562
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0036654
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%