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Run: 2026-09-03-01M1K5CN3N1567N62FC4T25WZ5
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
1m 8s
Cost:
$0.024127
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 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 glittery invitation across the getaway car hood. "Bill, remember last time we stole boring office supplies together?" Bill munched cold fries while watching balloons bob outside gleefully. "Yeah, staplers stink, but birthday presents mean jackpot, baby today." The suburban house pulsed with shrieks, music, and sugary chaos. "Target is Timmy Johnson, turning six on Maple Street Saturday." Molly tapped a red circle marking the gift table location. "How many screaming sugar crazed kids are we expecting exactly?" Bill wiped ketchup from his chin and grinned very nervously. "Twenty tiny monsters hyped on cake and cheap soda probably." A dog barked next door as sprinklers hissed across lawns. "Great, we dress as clowns and grab gift table quickly." Molly rolled her eyes at his terrible clown phobia again. "No clown suits, Bill, you cried last time, remember buddy?" Bill adjusted fake mustaches, capes, and oversized magician hats proudly. "I did not cry, makeup sweat stung my eyes badly." Across the street children chanted happy birthday off key loudly. "Fine, we pose as tired magicians with empty bags then." Both thieves bumped fists, ready for Operation Gift Grab finally. "Brilliant, kids love magic, never suspect sneaky present thieves ever."
created_at
"2026-09-03T08:15:29.558Z"
9/3/2026, 8:15:29 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3640
moderation_latency
(null)
generation_time
67154
tokens_prompt
75
tokens_completion
335
native_tokens_prompt
68
native_tokens_completion
5657
native_tokens_completion_images
0
native_tokens_reasoning
5350
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
0.02412725
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423329-z5A1sD9pRlHE5xIqTLcg"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423329-BKgwAbJrj4Gie1dGqZLp"
upstream_id
"resp_6a992ca25f66d3b5a526433b"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992ca25f66d3b5a526433b"
is_byok
false
latency
541
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.02412725
cache_discount
(null)
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%