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Run: 2026-09-03-01M1K5KY9V143P4ZJ1C36MZEPA
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
57.8s
Cost:
$0.017352
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 10% 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 crayon map across the kitchen table as Bill adjusted his fake magician cape. The Henderson triplets birthday party promised mountains of unwrapped presents piled beside the bouncy castle, guarded only by tired parents and one grumpy clown. Molly pointed to the side fence with a chewed pencil. "We hit the party at two." Bill grinned and polished a balloon animal pump like a safecracker. "Grab presents, dodge toddlers, escape fast." Molly snorted, imagining panicked parents chasing them through sprinklers and frosting while toddlers screamed for more juice boxes. "What about the clown?" Bill shuddered at memories of squeaky noses and tiny bicycles, then suggested bribing him with extra frosting and a getaway tricycle. "Bribe him with cake." Molly agreed and packed glittery gift bags, plastic handcuffs, and a decoy piƱata stuffed with mashed potatoes. They would crash the pin the tail game, scoop every wrapped box, and vanish before Happy Birthday ended. Bill practiced his cheesy magic voice while Molly timed their escape around nap schedules. Outside, balloons bobbed innocently. Inside, two bumbling thieves prepared for the silliest, stickiest heist in suburban history, fueled by juice and regret. Neither remembered to bring pants for Bill. Oops indeed.
created_at
"2026-09-03T08:19:27.682Z"
9/3/2026, 8:19:27 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5228
moderation_latency
(null)
generation_time
57726
tokens_prompt
75
tokens_completion
404
native_tokens_prompt
68
native_tokens_completion
4072
native_tokens_completion_images
0
native_tokens_reasoning
3707
native_tokens_cached
35
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
0.0173525
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423567-iPLgsglYTdjspMRSJJWv"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423567-yyfthCyHC96QJcFEJcIi"
upstream_id
"resp_6a992d9040c0407d3f65445c"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992d9040c0407d3f65445c"
is_byok
false
latency
615
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.0173525
cache_discount
0.0000385
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%