Run: 2026-09-03-01M1K5CN3N1567N62FC4T25WZ5

Run Details

Duration:
1m 8s
Cost:
$0.024127
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

AI
Molly spread the glittery invitation across the getaway car hood. "Bill, remember last time we stole boring office supplies together?" Bill munched cold fries while watching balloons bob outside gleefully. "Yeah, staplers stink, but birthday presents mean jackpot, baby today." The suburban house pulsed with shrieks, music, and sugary chaos. "Target is Timmy Johnson, turning six on Maple Street Saturday." Molly tapped a red circle marking the gift table location. "How many screaming sugar crazed kids are we expecting exactly?" Bill wiped ketchup from his chin and grinned very nervously. "Twenty tiny monsters hyped on cake and cheap soda probably." A dog barked next door as sprinklers hissed across lawns. "Great, we dress as clowns and grab gift table quickly." Molly rolled her eyes at his terrible clown phobia again. "No clown suits, Bill, you cried last time, remember buddy?" Bill adjusted fake mustaches, capes, and oversized magician hats proudly. "I did not cry, makeup sweat stung my eyes badly." Across the street children chanted happy birthday off key loudly. "Fine, we pose as tired magicians with empty bags then." Both thieves bumped fists, ready for Operation Gift Grab finally. "Brilliant, kids love magic, never suspect sneaky present thieves ever."
created_at"2026-09-03T08:15:29.558Z" 9/3/2026, 8:15:29 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3640
moderation_latency(null)
generation_time67154
tokens_prompt75
tokens_completion335
native_tokens_prompt68
native_tokens_completion5657
native_tokens_completion_images0
native_tokens_reasoning5350
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"
usage0.02412725
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423329-z5A1sD9pRlHE5xIqTLcg"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423329-BKgwAbJrj4Gie1dGqZLp"
upstream_id"resp_6a992ca25f66d3b5a526433b"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992ca25f66d3b5a526433b"
is_byokfalse
latency541
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.02412725
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: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%