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Run: 2026-07-25-01KYD6AHT7MVZQCNT7XJJCEW84
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
19.3s
Cost:
$0.015428
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9997%
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 blueprint across the van dashboard, revealing a bouncy castle, a cake table, and a suspiciously large pile of brightly wrapped boxes. "Okay Bill, remind me why we're robbing a six-year-old?" Molly whispered, squinting at the security detail listed as two moms with juice boxes. Bill adjusted his clown wig nervously. "Because little Timmy's getting a PlayStation Five, and the market value is insane," Bill said. "Plus, nobody suspects the entertainment." Molly snorted. "You call that disguise entertainment? You look like a depressed Ronald McDonald." "And you look like a magician who lost a bet," Bill hissed. "Do you even have a plan for the presents?" "Simple. You distract them with balloon animals while I bag the LEGO sets. Then we escape before the pinata explodes." "That sounds surprisingly competent for stealing from children." "We have standards, Bill. Low, flexible, deeply embarrassing standards even right now today unfortunately." The van smelled faintly of desperation, old french fries, and latex balloons, which seemed appropriately tragic for their criminal career choices. Outside, children screamed joyfully, oblivious to the two highly unqualified masterminds plotting larceny over a crumpled Chuck E. Cheese map. Molly sighed. Bill nodded, still clutching squeaky balloon giraffes.
created_at
"2026-07-25T17:49:16.494Z"
7/25/2026, 5:49:16 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
18118
moderation_latency
(null)
generation_time
19247
tokens_prompt
75
tokens_completion
339
native_tokens_prompt
225
native_tokens_completion
3564
native_tokens_completion_images
0
native_tokens_reasoning
3265
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
0.01542825
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f71caa3b0f9837894c6e"
is_byok
false
latency
277
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-1785001756-R2kQa7ukExFYv5SNritF"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001756-Ax9yoIjf5ZnDe4FoMKtH"
upstream_id
"resp_6a64f71caa3b0f9837894c6e"
total_cost
0.01542825
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
100.00%
Dialogue to Total Word Ratio
Ratio: 50.50%, Deviation: 0.50%
neededClean
false
wordsTotal
202
wordsDialogue
102
99.9997%