Run: 2026-09-03-01M1K5RPXPEJWNTBPGBBG988ME

Run Details

Duration:
1m 32s
Cost:
$0.030149
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 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

AI
Molly grinned, unfolding the crumpled map. "Okay, the Johnson kid turns six Saturday, backyard party, clown, bouncy castle, mountain of presents." Bill peered over her shoulder nervously. "We are seriously stealing from a toddler? That's low, even for us." "Think big, Bill. Legos, bikes, robot dinosaurs. Kids get the best loot untouched by taxes." He groaned. "Yeah, guarded by twelve sugary ninjas, one tired mom, and a clown who does balloon animals." She whispered. "Please. We dress as clowns, walk in with an empty gift bag, walk out stuffed. Nobody questions extra clowns." "I hate clown makeup. Last time I broke out, and kids cried. I still hear the screaming." "Suck it up, buttercup. You distract with magic tricks while I grab presents and cake." "I don't know magic. I can barely shuffle cards without dropping spaghetti from my sleeves." Molly winked. "Perfect! Kids love spaghetti sleeves. Just yell abracadabra, trip over the bouncy castle, total chaos." Bill gulped. "And if the birthday mom catches us? Do we run, cry, or demand juice boxes like hostages?" "We smile, yell surprise inspection, grab three cupcakes for the road, sprint like caffeinated pirates." "Fine, but I get first pick of Legos." "Deal."
created_at"2026-09-03T08:22:03.964Z" 9/3/2026, 8:22:03 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency90086
moderation_latency(null)
generation_time91727
tokens_prompt75
tokens_completion307
native_tokens_prompt68
native_tokens_completion7074
native_tokens_completion_images0
native_tokens_reasoning6769
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"
usage0.0301495
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423723-blSxyXsjGQPuSsmcKeRq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423723-hl6VpzWIpLYHn6j0Ryxd"
upstream_id"resp_6a992e2c5a50a5d4e3384e90"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992e2c5a50a5d4e3384e90"
is_byokfalse
latency969
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.0301495
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: 90.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue180
100.0000%