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Run: 2026-09-03-01M1K4YS01FX06BYBV9FDGFBJV
Run Details
Model:
Muse Spark 1.2 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
23.4s
Cost:
$0.023800
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
"Molly, are we seriously going to steal presents from a children's birthday party?" Bill whispered. "Bill, those kids get mountains of plastic junk they won't even notice is gone," Molly replied. "That's exactly why we shouldn't steal them, it's six-year-olds, Molly, they'll cry," Bill said. "They'll cry anyway when the clown shows up, we just wear clown suits and blend right in," Molly grinned. "Wait we own clown suits now actually?" "Borrowed them from my cousin, totally legitimate unless you ask him," Molly said. "So the plan is we sneak through the side yard during cake time together?" "Exactly, you grab the table, I grab the giant pile by the bounce house, we run," Molly whispered. "What about the parents, they will definitely chase us down?" "Who chases clowns, Bill, everyone just assumes we're the entertainment," Molly laughed. "This feels immoral even for us, stealing Legos and dolls from little Timmy?" "Think of it as redistributing joy, we need rent money more than Timmy needs another truck," Molly insisted. "Fine I'm in, but if anyone asks I'm just the clown who got lost," Bill declared. "Perfect, remember don't open the presents till we're home, shaking is for amateurs," Molly warned.
created_at
"2026-09-03T08:07:54.123Z"
9/3/2026, 8:07:54 AM
model
"meta/muse-spark-1.2-20260805"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2596
moderation_latency
(null)
generation_time
23371
tokens_prompt
75
tokens_completion
324
native_tokens_prompt
68
native_tokens_completion
5589
native_tokens_completion_images
0
native_tokens_reasoning
5298
native_tokens_cached
35
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
0.02379975
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788422874-BY4yw6eGlZQZTP9xPIYO"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788422874-i6Fya0RCOWvsKF5IcQ9V"
upstream_id
"resp_6a992adaa732c9e0e49f4ca1"
provider_responses
0
endpoint_id
"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id
"resp_6a992adaa732c9e0e49f4ca1"
is_byok
false
latency
2277
model_permaslug
"meta/muse-spark-1.2-20260805"
provider_name
"Meta"
status
200
total_cost
0.02379975
cache_discount
0.0000385
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: 90.10%, Deviation: 0.10%
neededClean
false
wordsTotal
202
wordsDialogue
182
100.0000%