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Run: 2026-07-25-01KYD4NTHSNB4VN8BAEXD048DT
Run Details
Model:
Muse Spark 1.1 (Reasoning, Minimal)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.1s
Cost:
$0.007362
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
98.34%
Dialogue to Total Word Ratio
(details)
99.1703%
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 slammed the blueprints onto the table. "Okay, Bill, Operation Happy Birthday is a go. We go in through the bounce house." Bill stared. "Are we really robbing a six-year-old, Molly? That's a new low, even for us." "Don't be dramatic. It's twenty six-year-olds. Think of the haul. Legos, PlayStations, gift cards!" "We steal jewels, Molly. Diamonds. Not juice boxes and action figures." "Jewels don't have a gift receipt. The presents are upstairs, in the bedroom, unguarded. Except for the clown." "Oh great, a clown. Tell me it's not that scary one from 5th Street." "It's exactly that clown, Bill. But I brought extra squirting flowers to neutralize him." "So what's the plan? We dress as entertainers?" "Exactly. You are Mr. Wiggles the Magician. I am Captain Cupcake. We grab the loot during musical chairs." "And if we get caught?" "We cry and say our mommy forgot to pick us up." Bill sighed. "That's your master plan? Weaponized crying?" "Trust me, Bill, no parent wants to deal with two sobbing adults at a kid's party." "Okay fine I'm in but I want the big robot." She grinned. "Deal, but I get all the cake." "You always get the cake."
created_at
"2026-07-25T17:20:28.736Z"
7/25/2026, 5:20:28 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
8763
moderation_latency
(null)
generation_time
9964
tokens_prompt
75
tokens_completion
293
native_tokens_prompt
225
native_tokens_completion
1666
native_tokens_completion_images
0
native_tokens_reasoning
1366
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
0.00736175
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f05c2a03cfd7b9914f43"
is_byok
false
latency
253
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-1785000028-asKFHWzNuOgw4yvX4Dz1"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000028-yEcwbqNC50Vc3mOAck1h"
upstream_id
"resp_6a64f05c2a03cfd7b9914f43"
total_cost
0.00736175
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
199
98.34%
Dialogue to Total Word Ratio
Ratio: 93.60%, Deviation: 3.60%
neededClean
false
wordsTotal
203
wordsDialogue
190
99.1703%