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Run: 2026-09-03-01M1K4RJNSNTCKJN6X4C3GWKHB
Run Details
Model:
Muse Spark 1.2 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
25.6s
Cost:
$0.019797
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
66.26%
Dialogue to Total Word Ratio
(details)
83.1276%
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 really going to rob a children's birthday party?" Bill whispered. "Absolutely, Bill, that's where the untouched presents are piled higher than the cake," Molly replied. "Isn't stealing from kids a new low, even for us?" "Think of it as redistributing unopened toys to people who appreciate resale value." "How do we get past all those parents without looking creepy?" "We dress as entertainers. Nobody questions a clown with a big bag." "I hate clown makeup. My nose itches for days." "Tough luck. You distract the magician while I grab the gift table near the bounce house." "What if a kid starts crying? I fold under pressure from toddlers." "Just make a balloon dog and sprint. We're professionals, remember?" "Professionals who steal LEGOs and action figures?" "Hey, a score's a score, no matter how small the victims are." "Fine, but if a mom with a juice box tackles us, I'm telling everyone it was your idea." "You always say that, and you always follow me anyway." "Do we at least get cake after?" "Only if we don't get caught, Bill. Now fix your red nose." "Ridiculous pays the rent, now come on, the presents aren't going to steal themselves."
created_at
"2026-09-03T08:04:31.04Z"
9/3/2026, 8:04:31 AM
model
"meta/muse-spark-1.2-20260805"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2668
moderation_latency
(null)
generation_time
25594
tokens_prompt
75
tokens_completion
312
native_tokens_prompt
68
native_tokens_completion
4638
native_tokens_completion_images
0
native_tokens_reasoning
4348
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
0.0197965
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788422671-XWoaoeHe7D5sqW08pUqp"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788422671-FLhhb1bo0h8dqL38GSmp"
upstream_id
"resp_6a992a0fea17c1ea790c45f2"
provider_responses
0
endpoint_id
"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id
"resp_6a992a0fea17c1ea790c45f2"
is_byok
false
latency
542
model_permaslug
"meta/muse-spark-1.2-20260805"
provider_name
"Meta"
status
200
total_cost
0.0197965
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
201
66.26%
Dialogue to Total Word Ratio
Ratio: 98.01%, Deviation: 8.01%
neededClean
false
wordsTotal
201
wordsDialogue
197
83.1276%