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Run: 2026-07-25-01KYD70QMNK3FKM646NCTKAJPC
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.2s
Cost:
$0.006996
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
97.55%
Dialogue to Total Word Ratio
(details)
98.7330%
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 pressed her face against the fence. "Okay, Bill, you see the target? Six-year-olds, cake, and a mountain of presents by the clown." Bill adjusted his ski mask. "Why are we wearing ski masks to a kid's party in July? And why are we stealing Bluey toys?" "Because that Bluey Malibu dream house retails for eighty bucks, Bill. Eighty bucks times twenty kids equals retirement." "That's not how math works, Moll. That's like four hundred bucks after pawn fees." "Shut up. Phase one, you distract the clown." "How?" "Tell him you're a sad adult clown looking for mentorship." "I'm not doing that. Last time I distracted a clown I got trauma." "Fine. You go straight for the presents, I'll handle the clown, the parents, and the bouncy castle." "What's phase two?" "We run. Very fast. Before the juice boxes wear off." "Molly, what if they have goodie bags?" "Then we double our haul, Bill. Think big." "I am thinking big. I'm thinking felony theft of Paw Patrol figurines will really impress my parole officer." "Relax, it's a kid's party, what's the worst that happens?" "We get beaten up by moms hopped up on Chardonnay and Goldfish crackers."
created_at
"2026-07-25T18:01:23.356Z"
7/25/2026, 6:01:23 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
9020
moderation_latency
(null)
generation_time
10149
tokens_prompt
75
tokens_completion
298
native_tokens_prompt
225
native_tokens_completion
1580
native_tokens_completion_images
0
native_tokens_reasoning
1292
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
0.00699625
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f9f42c82913746314e3f"
is_byok
false
latency
681
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-1785002483-qkIs0uHnJfOvXxP36PSW"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785002483-o0nbaT18189k7Ly9TlrY"
upstream_id
"resp_6a64f9f42c82913746314e3f"
total_cost
0.00699625
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
99.92%
Matches word count
n/a
neededClean
false
words
197
97.55%
Dialogue to Total Word Ratio
Ratio: 93.97%, Deviation: 3.97%
neededClean
false
wordsTotal
199
wordsDialogue
187
98.7330%