Run: 2026-07-25-01KYD4RMYQ38NQQV4G3E5KZ1BY

Run Details

Duration:
12.4s
Cost:
$0.008048
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
93.47% Dialogue to Total Word Ratio (details)
96.7341% 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 and Bill crouched behind the bounce house, whispering fiercely. "Molly, this is a new low. Stealing from eight-year-olds? Really?" "Bill, it's not stealing, it's strategic present redistribution. Look at that pile." "That's like fifty Bluey wrapped boxes. You want us to get beaten up by moms?" "The moms are distracted by mimosas. We go in as clowns. In and out." "We don't have clown costumes, Molly. We have ski masks." "Same vibe. Kids love terrifying clowns. You distract the magician, I grab the loot." "You want me to fight a magician? What if he actually makes me disappear?" "He does balloon animals, Bill, not actual magic. Grow up." "Okay, okay. What's our escape vehicle?" "The little train that goes choo-choo around the yard. It's our getaway train." "Genius. Absolutely genius. Let's get those LEGOs." "Wait, do we split fifty-fifty?" "No, you get forty, I get sixty, I planned this brilliant operation." "That pile has a Barbie Dreamhouse, Molly. I want the Dreamhouse." "Fine, you can have the Dreamhouse if I can have the Nintendo Switch." "Deal. But if we get caught, we pretend we are the entertainment." "Agreed. Now put on this ridiculous red nose." "Let's steal some joy."
created_at"2026-07-25T17:22:01.311Z" 7/25/2026, 5:22:01 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10960
moderation_latency(null)
generation_time12244
tokens_prompt75
tokens_completion306
native_tokens_prompt225
native_tokens_completion1844
native_tokens_completion_images0
native_tokens_reasoning1542
native_tokens_cached64
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"
usage0.00804785
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f0b9a477e1ea845b4c32"
is_byokfalse
latency606
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785000121-qEq1TmZuOXMsAz5BYO9j"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000121-xAJXHzaM9FXK6fQvocy6"
upstream_id"resp_6a64f0b9a477e1ea845b4c32"
total_cost0.00804785
cache_discount0.0000704
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
93.47% Dialogue to Total Word Ratio
Ratio: 95.10%, Deviation: 5.10%
neededCleanfalse
wordsTotal204
wordsDialogue194
96.7341%