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Run: 2026-09-03-01M1K5VGM2M9T7SCN8FP5Z61YA
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
59.5s
Cost:
$0.025764
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 crouched behind the rusty minivan watching the chaotic backyard birthday party. "Bill, look at that present table, totally unguarded and loaded." Bill adjusted his fake mustache and squinted at the clown making balloon animals. "Perfect, we stroll in wearing party hats like tired parents." Molly snorted and lowered her binoculars, grinning at his ridiculous confidence. "You look like a parent? You ate frosting off the sidewalk yesterday." Bill shrugged proudly, brushing crumbs off his oversized trench coat. "That was undercover tasting, Molly, strictly professional thief business." She pointed toward the side gate swinging open near the pizza boxes. "Fine, genius, how do we haul Lego past that hyper clown?" Bill grinned and patted the large wagon parked behind them. "Easy, we label it party cleanup and act totally bored." Molly imagined screaming toddlers tackling Bill for juice boxes and candy. "And when the birthday kid screams bloody murder?" "We blame the clown, always blame the creepy clown." Confetti burst over the fence as cheerful music thumped loudly. "Okay, you distract the clown while I grab loot." "Why am I always stuck with terrifying clown duty?" Bill sighed dramatically, tugging a tiny party hat onto his head. "Let's steal joy."
created_at
"2026-09-03T08:23:35.816Z"
9/3/2026, 8:23:35 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
58102
moderation_latency
(null)
generation_time
59516
tokens_prompt
75
tokens_completion
323
native_tokens_prompt
68
native_tokens_completion
6042
native_tokens_completion_images
0
native_tokens_reasoning
5764
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
0.0257635
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423815-q37cXI89mi09F3ydbELT"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423815-U7PDeC3ghOPJugP3Hmrb"
upstream_id
"resp_6a992e8848a498ab2f144e71"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992e8848a498ab2f144e71"
is_byok
false
latency
943
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.0257635
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%