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Run: 2026-11-11-01M755QB3AMDX6Q22R7N4TNXS2
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
6.8s
Cost:
$0.001797
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
Behind the garden shed, Molly unfolded a very crumpled map. "Right, Bill, the Henderson twins' party is Saturday, one p.m., bouncy castle, cake, and mountains of loot." "Loot? Molly, it's a kids' party. They'll have, like, dinosaur books and socks." "Exactly. Kids never need that much wrapping paper. We'll be rich on bouncy castles alone." "We can't just walk in. Last time you tried, a clown chased us with a balloon sword." "This time we wear disguises. You be the birthday boy. I'll be his mum." "I'm forty-two, Molly. I have a beard and back pain." "Perfect. The littles will think you're a very tall, very tired birthday boy." "And you? You look nothing like a mum. You look like a burglar." "I'll wear a cardigan over my balaclava. Instant mum camouflage. Nobody suspects cardigans." "What's our escape vehicle? The wheelbarrow again? With the squeaky wheel?" "No, we steal the bouncy castle truck. We inflate it, load presents, and bounce away screaming." "Brilliant. The police will never catch a bouncing truck full of dinosaurs." "Okay, partner. Saturday, we become legends of the gift table. And terrible parents." "Naturally, Molly. Naturally." Bill nodded solemnly, already reaching for the glue stick again.
created_at
"2026-11-11T11:26:07.986Z"
11/11/2026, 11:26:07 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3354
moderation_latency
(null)
generation_time
6802
tokens_prompt
75
tokens_completion
372
native_tokens_prompt
69
native_tokens_completion
3580
native_tokens_completion_images
0
native_tokens_reasoning
3214
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
0.0017969
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396367-wQzLWwI2JltO9JArlwes"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396367-TobseoV25Sa8LR1hKjZn"
upstream_id
"resp_6af450d137637231fd9e4778"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af450d137637231fd9e4778"
is_byok
false
latency
2310
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0017969
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: 90.05%, Deviation: 0.05%
neededClean
false
wordsTotal
201
wordsDialogue
181
100.0000%