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Run: 2026-09-23-01M36RE6SGRDMQF73Z7QEXN5CN
Run Details
Model:
GPT-6 Luna (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
21.8s
Cost:
$0.000768
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
91.96%
Dialogue to Total Word Ratio
(details)
45.9786%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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
Messages
Meta
AI
Rain tapped the windshield of the rented van. Across the street, a community hall glowed with balloons and a banner reading HAPPY BIRTHDAY, THEO! Molly studied it through binoculars. Bill studied a cupcake he had stolen from the buffet table during reconnaissance. “Remind me why we’re robbing a children’s party,” Bill said. “Because the presents are all in one place.” “So are the children.” “They’re smaller. Less intimidating.” “One of them called me ‘the man with the suspicious mustache.’” “Your mustache is suspicious.” “It’s a perfectly respectable mustache.” “It’s wearing a disguise.” Bill touched his false mustache. It came away in his hand. “All right. We enter as entertainers. You juggle; I do magic.” “You can’t juggle.” “I can drop things in an entertaining way.” “And your magic?” “I make snacks disappear.” “That’s called eating, Bill.” Molly lowered the binoculars. Inside the hall, a dozen children were circling a mountain of brightly wrapped gifts while a woman in a paper crown tried to organize them. “New plan,” she said. “We become the birthday children’s favorite aunt and uncle.” “We don’t know Theo.” “Neither does every aunt and uncle. They just arrive with a card and say, ‘You’ve grown.’” “I could say that to the cake.” “You could, but don’t.” Bill leaned forward. “How do we get the presents out?” “Carefully.” “That’s not a plan. That’s an adverb.” “We’ll borrow the party’s gift wagon.” “Borrow?” “Steal, then return.” “That’s borrowing with a dramatic middle.” Molly pointed at the hall. “We roll the presents to the van during the cake song.” “The children will notice a wagon full of gifts leaving.” “They’ll be singing.” “Children can sing and notice things. They’re surprisingly good at both.” “Then we distract them.” “With magic?” “With your juggling.” “That’s just the cake plan again, and I’m beginning to suspect you don’t have a plan.” “I have several. They’re all improving under pressure.” Bill peered through the window. “What if the presents are all toys? We can’t fence a hundred toy dinosaurs.” “We could open a museum.” “‘The Molly and Bill Museum of Things We Stole From Children’ sounds legally risky.” “Fine. We’ll take the presents, sell the valuable ones, and donate the rest.” “To whom?” “Children.” “So we steal from children to give to children?” “Exactly. It’s called philanthropy with a getaway vehicle.” Bill stared at the van. A large pink balloon had snagged on its antenna and bobbed above them like a flag announcing their intentions. “Your getaway vehicle is waving at the party.” Molly sighed. “Cut the balloon.” “I can’t. It looks happy.” “It’s a balloon, Bill.” “It’s having a better birthday than I am.” From inside, the children began singing. Molly reached for the door handle, then stopped. “What?” Bill whispered. “I just realized something.” “What?” “We forgot wrapping paper.” Bill glanced at the heap of presents. “We’re stealing wrapped presents.” “But if we donate them, we’ll need new tags.” “Then we write ‘From the suspicious mustache.’” Molly looked at him. “That’s your plan?” “It’s improving under pressure.” She put the binoculars down. “We’re leaving.” “Without the presents?” “Without the presents.” Bill clutched the cupcake. “Can I keep this?” Molly started the engine. “That’s the only part of the operation you’ve managed successfully.” “Then I consider the heist a triumph.” The balloon bobbed solemnly as the van pulled away.
created_at
"2026-09-23T09:09:38.751Z"
9/23/2026, 9:09:38 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
11361
moderation_latency
(null)
generation_time
21776
tokens_prompt
75
tokens_completion
1192
native_tokens_prompt
66
native_tokens_completion
1523
native_tokens_completion_images
0
native_tokens_reasoning
737
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.0007681
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790154578-ZnBCdGFzKK73fbV65soK"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790154578-FoZRiDc042JL4CyL8ScP"
upstream_id
"resp_08b6d40ac40b4f0d016ab39752db0087d1acdf39fabfa4ad17"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_08b6d40ac40b4f0d016ab39752db0087d1acdf39fabfa4ad17"
is_byok
false
latency
1045
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0007681
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
556
91.96%
Dialogue to Total Word Ratio
Ratio: 68.71%, Deviation: 1.29%
neededClean
false
wordsTotal
556
wordsDialogue
382
45.9786%