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Run: 2026-07-25-01KYD7WEQ1V3E5AEBM6BGPA034
Run Details
Model:
Muse Spark 1.1 (Reasoning, Minimal)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
13.6s
Cost:
$0.009529
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
99.34%
Dialogue to Total Word Ratio
(details)
99.0241%
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
Messages
Meta
AI
Molly spread the crayon-drawn blueprint across the getaway car's hood. The clown van idled behind them, squeaking every few seconds. Bill adjusted his oversized party hat, looking profoundly unhappy. "This is our lowest moment, right?" Bill asked. "Speak for yourself, birthday burglar. This is strategy," Molly said. The house ahead pulsed with screaming children and a failing bubble machine. A banner read TIMMY TURNS 6! "We're stealing from a six-year-old. Can't we rob a bank instead?" Bill whispered. "Banks have guards. Birthdays have cake. Focus," Molly replied. "What's the plan for the piƱata? It's staring at me," Bill said. "You distract the clown. I grab the loot. Simple," Molly said. "I hate clowns. He knows we're not parents," Bill said. "Just say our kid's inside. Named Timmy. Looks exactly like you, but successful," Molly said. Bill stared at the pile of presents visible through the window, each wrapped in dinosaur paper that roared with commercial excess. He sighed deeply. "Okay, but if Timmy cries, I'm keeping the dinosaur. For emotional damages," Bill said. "Deal. If I cry, I get the cake," Molly said. Bill nodded bravely toward certain doom. "I love cake-based crime," Bill said. Molly folded the blueprint into a juice box. Very slowly indeed.
created_at
"2026-07-25T18:16:31.721Z"
7/25/2026, 6:16:31 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
11799
moderation_latency
(null)
generation_time
13062
tokens_prompt
75
tokens_completion
330
native_tokens_prompt
225
native_tokens_completion
2176
native_tokens_completion_images
0
native_tokens_reasoning
1862
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
"auto"
usage
0.00952925
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64fd80f0fa568311e141f9"
is_byok
false
latency
294
model_permaslug
"meta/muse-spark-1.1-20260709"
provider_name
"Meta"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785003391-ua9h8dLsYBrtMvxZmxBu"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785003391-eui4vWjWTxcGIyOp4BjD"
upstream_id
"resp_6a64fd80f0fa568311e141f9"
total_cost
0.00952925
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
98.71%
Matches word count
n/a
neededClean
false
words
206
99.34%
Dialogue to Total Word Ratio
Ratio: 47.14%, Deviation: 2.86%
neededClean
false
wordsTotal
210
wordsDialogue
99
99.0241%