Run: 2026-07-09-01KX41479FKR7WDAHWJYZGSA9F

Run Details

Duration:
2.8s
Cost:
$0.002148
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.21% Matches word count (details)
83.31% Dialogue to Total Word Ratio (details)
41.7628% 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
“Bill, confirm the target.” “The Rainbow Room. Children’s birthday party. Presents stacked beneath a balloon arch.” “Security?” “Three parents, one grandparent, and a clown with the cold, dead eyes of a bank manager.” “Excellent. Our kind of professional.” “Molly, these are children’s presents.” “Exactly. Small boxes, low shelves, terrible wrapping. We’ll be out before anyone notices.” “Someone will notice. It’s a birthday party.” “Then we disguise ourselves.” “As what?” “Children.” “I’m six foot two.” “Slouch.” “And you?” “I’ll be the birthday magician.” “You don’t know magic.” “I know misdirection. Watch this.” Molly snapped her fingers and produced a cupcake. “Where did you get that?” “From the party.” “We haven’t entered yet.” “Details.” “Plan?” “We arrive wearing matching dinosaur pajamas, claim to be cousins, and join the conga line.” “There is no conga line.” “There will be after I start one.” “Then we grab the presents?” “Not immediately. First, we win trust by applauding loudly.” “I can applaud.” “Can you look delighted by a seven-year-old’s recorder solo?” “I once listened to a tax auditor explain depreciation.” “Perfect.” “And the getaway?” “Balloon-powered laundry cart.” “That is not a vehicle.” “Neither is a clown, yet here we are.” “Fine. But we split everything fifty-fifty.” “Agreed.” “Even the bicycle?” “Especially the bicycle.” “What if the birthday child catches us?” “Then we give the presents back.” “That’s your plan?” “No. That’s our alibi.”
created_at"2026-07-09T18:09:34.517Z" 7/9/2026, 6:09:34 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency359
moderation_latency(null)
generation_time2582
tokens_prompt77
tokens_completion518
native_tokens_prompt66
native_tokens_completion347
native_tokens_completion_images0
native_tokens_reasoning0
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"default"
usage0.002148
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0ec70de4b293e6bd016a4fe3de9b288193bdbf1deba154f963"
is_byokfalse
latency188
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620574-4qGvVJTzSXWuCCpBggrX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620574-SyWi9ufyaoG4Q9StCigE"
upstream_id"resp_0ec70de4b293e6bd016a4fe3de9b288193bdbf1deba154f963"
total_cost0.002148
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.21% Matches word count n/a
neededCleanfalse
words228
83.31% Dialogue to Total Word Ratio
Ratio: 96.54%, Deviation: 6.54%
neededCleanfalse
wordsTotal231
wordsDialogue223
41.7628%