Run: 2026-09-03-01M1K4T6R33DA98J4QSFVS7TGR

Run Details

Duration:
43.6s
Cost:
$0.014620
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
The van smelled faintly of old pizza and terrible decisions. Molly crouched beside a dumpster studying the suburban backyard through cheap binoculars. Bill polished a balloon animal poodle like it was a loaded weapon. Pastel streamers fluttered above a folding table piled high with glittery presents. A magician botched card tricks while toddlers screamed for sugar and chaos. Molly whispered "We grab gifts fast then sprint past screaming clowns today." Bill nodded solemnly adjusting his fake mustache that kept curling in humidity. He mapped exits between bounce house inflatable castle and grumpy babysitters. Operation Birthday Snatch required precision timing and zero glitter tolerance. Molly tapped the handdrawn map twice with criminal confidence. Bill replied "Bring big bags dodge cake frosting balloons toddlers cops fast." They synchronized watches despite neither watch actually working properly anymore. The plan involved fake clown costumes surplus confetti and extreme casual lying. Molly would distract parents with enthusiastic puppet show about taxes. Bill would scoop presents into laundry sacks labeled dirty socks. If caught they would claim extreme community service or avantgarde performance art. Somewhere a child shrieked joyfully unaware criminal masterminds lurked nearby. Both thieves grinned ready to ruin birthdays for glorious selfish profit today.
created_at"2026-09-03T08:05:24.362Z" 9/3/2026, 8:05:24 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3127
moderation_latency(null)
generation_time43570
tokens_prompt75
tokens_completion362
native_tokens_prompt68
native_tokens_completion3420
native_tokens_completion_images0
native_tokens_reasoning3134
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"
usage0.01462
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422724-TAn214s3bMJoUdwtlPnx"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422724-yRqetVccUvKtQfizuilk"
upstream_id"resp_6a992a448253d3716dcd4ef6"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992a448253d3716dcd4ef6"
is_byokfalse
latency523
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.01462
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%