Run: 2026-09-03-01M1K5F1QPPCS7DEC277GNDYVZ

Run Details

Duration:
14.0s
Cost:
$0.015104
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 whispered over the blueprints. "Bill, the target is little Timmy's seventh birthday, noon, lots of presents piled by the cake." Bill adjusted his clown nose nervously. "Right, you sure this is worth it? Stealing from kids feels low, even for us." "You kidding? Those parents overcompensate, the presents are untouched, expensive, easy resale." "Okay, so we go as entertainers? I hate clowns." "Perfect cover, you will juggle, I will do magic, then we grab the loot while they sing happy birthday." "And the parents? They will notice two shady clowns stuffing gifts into duffel bags." "Distraction, I release ten doves, you pop balloons, chaos, we vanish through the back gate quietly." "Brilliant, absolutely terrible morally, but brilliant. Do we get cake?" "Bill, focus, we get presents, then we buy our own cake, a whole bakery." He sighed, tugging at his oversized shoes. "Molly, if Timmy cries, I quit heists forever, I mean it." "Relax, Timmy gets adventure, we get profit, everybody wins, especially the toy store later." "What about the bouncy castle? Can we use it for escape?" "No, Bill, we steal presents not childhoods, stick to the plan, okay?" She grinned. "Fine, no castle, promise? Promise. Let's go."
created_at"2026-09-03T08:16:47.355Z" 9/3/2026, 8:16:47 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3519
moderation_latency(null)
generation_time13937
tokens_prompt75
tokens_completion357
native_tokens_prompt68
native_tokens_completion3534
native_tokens_completion_images0
native_tokens_reasoning3185
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"
usage0.0151045
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423407-U7jaivOyI9jBYZ3fKVM5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423407-fusAsqnyTAmdOaPztMKR"
upstream_id"resp_6a992cefbfbdd9af5b1243d5"
provider_responses
0
endpoint_id"ffc8e76e-808a-44d2-bd21-c6ac16e721cb"
id"resp_6a992cefbfbdd9af5b1243d5"
is_byokfalse
latency513
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
total_cost0.0151045
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%