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Run: 2026-07-25-01KYD7SJ21NQFD7CT4QHFZW11Q
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
20.3s
Cost:
$0.015105
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.98%
Dialogue to Total Word Ratio
(details)
99.9918%
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, we're robbing a six-year-old's birthday party." Bill hissed. "Correction, Bill, we're liberating plastic junk from ungrateful brats." Molly grinned. "That's cold. Even for you. Whose idea was this again?" "Yours, after you lost our rent money betting on competitive duck herding." "Okay, fair. But the plan? There's gonna be clowns, parents, sugar-high kids." "Simple. You dress as Clowny the Clown. I dress as the responsible adult." "I ain't wearing greasepaint! Last time I broke out!" "Fine. You want to be the pony? The invite says there's a pony." "Oh hell no. I'll be the clown. What's the distraction?" "You do balloon animals until someone cries, then I grab the present mountain and bolt." "That's it? That's the whole plan? What about the laser tag bouncy castle?" "Mate, it's Paw Patrol, not Oceans Eleven. We steal, we leave, we eBay." "What if they have cake?" "Then we steal that too." "Chocolate frosting?" Bill asked. "Double chocolate, with sprinkles, and probably those little plastic dinosaurs kids love." Molly said. "We're terrible people, Molly." "Worst. Now go practice your squeaky nose." Bill shifted nervously beside the minivan loaded with wrapping paper. "And no eating the loot before we split it okay boss."
created_at
"2026-07-25T18:14:56.84Z"
7/25/2026, 6:14:56 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
18931
moderation_latency
(null)
generation_time
19892
tokens_prompt
75
tokens_completion
317
native_tokens_prompt
225
native_tokens_completion
3488
native_tokens_completion_images
0
native_tokens_reasoning
3178
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
0.01510525
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64fd212888314d095642af"
is_byok
false
latency
242
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-1785003296-bAcSIvL9CybqAgCoDkvx"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785003296-6B7QhpmiKxXDPM3R2Sui"
upstream_id
"resp_6a64fd212888314d095642af"
total_cost
0.01510525
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
100.00%
Matches word count
n/a
neededClean
false
words
200
99.98%
Dialogue to Total Word Ratio
Ratio: 91.13%, Deviation: 1.13%
neededClean
false
wordsTotal
203
wordsDialogue
185
99.9918%