Run: 2026-09-03-01M1K4Y4WWHPRQZG78Q5MPTXXQ

Run Details

Duration:
11.0s
Cost:
$0.013366
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

AI
Molly unrolled the blueprint across the stolen ice cream van's dashboard while Bill tried to look inconspicuous in a clown wig that was actively rejecting his scalp. The target was not a bank or a museum but little Timmy Henderson's seventh birthday party, an event rumored to have more wrapped loot per square foot than a department store. The backyard was fortified with bored parents, a hyperactive bouncy castle, and a surprisingly aggressive pony. Their plan relied on Bill posing as the entertainment. Molly had studied the present table for weeks via binoculars from the neighbor's oak, cataloging every rectangular and suspiciously rattling box. She tapped the blueprint with a french fry. Bill adjusted his squeaking red nose and whispered anxiously about the ethics of stealing from children. Molly reminded him that the real score was the limited edition gaming console buried under unicorn wrapping paper. "We need distraction, then grab bags fast before parents notice," she said. "What if pony attacks or kids scream loudly at us?" he replied. Bill swallowed hard as distant children's laughter echoed like an alarm. Molly grinned, already imagining the getaway chased by sugar fueled seven year olds wielding cake and plastic swords angrily.
created_at"2026-09-03T08:07:33.539Z" 9/3/2026, 8:07:33 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10594
moderation_latency(null)
generation_time11009
tokens_prompt75
tokens_completion314
native_tokens_prompt68
native_tokens_completion3125
native_tokens_completion_images0
native_tokens_reasoning2865
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"auto"
usage0.01336625
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422853-ZEPjV9P6xgJQCrjhUHlh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422853-ifYc4JI8NrSn1A1UEueN"
upstream_id"resp_6a992ac54630a4ae4df84c88"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992ac54630a4ae4df84c88"
is_byokfalse
latency404
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.01336625
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%