Run: 2026-09-03-01M1K5CTJ42P96F1NV6KVG090J

Run Details

Duration:
1m 24s
Cost:
$0.020863
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 crouched behind the minivan, peering over bright balloons toward the noisy backyard birthday chaos. "Did you bring the clown costumes and the big empty gift bags?" Bill adjusted his oversized clown wig nervously while clutching a sagging laundry sack. "Yes, plus the getaway tricycle and fake mustaches for disguise." She grinned wickedly, tapping the hand-drawn map of folding tables piled with presents. "Perfect, we crash the backyard party during cake and grab everything fast." Bill whispered, glancing at the screaming children chasing the bubble machine. "What if the kids cry or the magician tackles us again?" She rolled her eyes, smearing red nose paint across her cheek confidently. "Then we cry louder and demand extra juice boxes for pain." Bill shuddered, remembering bruises and confetti stuck in uncomfortable places. "I love stealing toys, but seven-year-olds fight really dirty." Molly snorted, hoisting the empty sack over her shoulder like Santa. "Relax, I packed glitter bombs, silly string, and total confidence." He sighed, tightening his suspenders as the birthday song started loudly next door. "Remember last time we got beaten up by a piƱata?" "That was humiliating, so tonight we steal every single present first, okay my brave friend." They moved.
created_at"2026-09-03T08:15:34.475Z" 9/3/2026, 8:15:34 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6346
moderation_latency(null)
generation_time84192
tokens_prompt75
tokens_completion364
native_tokens_prompt68
native_tokens_completion4898
native_tokens_completion_images0
native_tokens_reasoning4571
native_tokens_cached35
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"
usage0.020863
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423334-ysr3DdBdY8fQb2aUYsoC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423334-8V4lUNtBGPYAMoqYhda8"
upstream_id"resp_6a992ca859ebd1e628634eab"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992ca859ebd1e628634eab"
is_byokfalse
latency1796
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.020863
cache_discount0.0000385
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: 50.25%, Deviation: 0.25%
neededCleanfalse
wordsTotal203
wordsDialogue102
100.0000%