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Run: 2026-07-25-01KYD59W65CHPYEQZSVEEMGCQE
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
18.1s
Cost:
$0.013631
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 blueprint across the getaway car's hood. It was a crayon drawing of a bounce house. Bill stared through binoculars at the backyard. "The target's turning six," Molly whispered. "Security is a clown making balloon animals." "That's low," Bill said. "Even for us. Stealing from kids?" "We're stealing the presents, not the cake," Molly said. "Focus. The pile is by the piƱata. Mostly Lego sets and gift cards." Bill lowered the binoculars. "What's our cover?" "You'll wear the mascot costume." "I'm not wearing the fluffy dinosaur suit again," Bill said. "Last time I sweated through my socks." "You have to. Kids love dinosaurs. You'll distract them while I grab the loot." Bill sighed. "Fine. But if anyone makes me do the chicken dance, I'm quitting crime forever." The wind flipped the blueprint, revealing a juice box stain marking the escape route. Parents arrived carrying wrapping paper that glittered cruelly in the afternoon sun. Bill tugged at the suit's tail, already regretting his life choices. Molly folded the map with criminal precision. A child screamed inside, either from joy or too much frosting. The heist was officially on now. "Let's steal birthday joy." "I definitely need expensive therapy now."
created_at
"2026-07-25T17:31:25.852Z"
7/25/2026, 5:31:25 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
16773
moderation_latency
(null)
generation_time
17873
tokens_prompt
75
tokens_completion
318
native_tokens_prompt
225
native_tokens_completion
3141
native_tokens_completion_images
0
native_tokens_reasoning
2858
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
0.0136305
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f2ee1979e762941a4cad"
is_byok
false
latency
412
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-1785000685-AWHPw8Xr7JMfLWPoPQjC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000685-ZDhpZaAoqvrY92B7hwRH"
upstream_id
"resp_6a64f2ee1979e762941a4cad"
total_cost
0.0136305
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%