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Run: 2026-09-23-01M36NMS3P6WXH0861NWEJ2CF6
Run Details
Model:
GPT-6 Luna
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
8.7s
Cost:
$0.000383
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
1.98%
Dialogue to Total Word Ratio
(details)
0.9887%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
Molly spread the floor plan across the hood of the getaway car. A cartoon dinosaur grinned up at her from the invitation pinned to its corner. “Children’s party,” she said. “Three o’clock. Presents in the living room. Parents distracted by cake.” Bill peered at the drawing. “Is that a moat?” “It’s a balloon arch.” “Then why does the dinosaur look afraid?” “Because he knows we’re coming.” They had arrived at the house early, dressed as entertainers. Molly wore a purple wig and carried a sack of juggling balls. Bill wore a shiny vest and a name tag that said BILLY THE MAGNIFICENT. “I thought you said I was the magician,” he whispered. “You are. I couldn’t fit ‘Bill Who Is Surprisingly Bad at Sleight of Hand’ on the tag.” At the front door, a harried parent opened up. Behind them, shrieking children chased one another through a hallway decorated with paper stars. “You’re the entertainers?” the parent asked. “Absolutely,” said Molly. “I’m Molly the Marvelous.” “And I’m Billy the Magnificent,” Bill announced, producing a playing card from his sleeve. It was the receipt from a petrol station. The parent glanced at it. “The kids are in the garden. Presents are on the table by the window.” Molly smiled. “Excellent. We’ll begin with a little mystery.” The parent ushered them outside. Molly immediately launched into a juggling routine involving three oranges and one increasingly alarmed rubber chicken. Bill attempted a card trick for a semicircle of children. “Pick a card,” he said. A little girl took the whole deck. “Remarkable,” Bill said. “You’ve chosen all of them.” While the children debated whether that counted, Molly nodded toward the open kitchen window. Bill slipped inside and found the presents stacked beneath a banner reading HAPPY BIRTHDAY, LEON. He stared at the brightly wrapped parcels. One had a tag: TO LEON, FROM NANA. “Can we really take these?” he whispered to himself. Molly appeared at the window. “Of course. We’re thieves, not monsters.” “Right. But what if Nana put socks in this one?” “Then we’ve stolen socks. Try to keep up.” They moved the presents into the laundry basket. The job was going beautifully until Bill lifted a huge box marked FRAGILE and heard a tiny bark. He froze. “Molly.” “What?” “There’s a dog in the present.” “That’s not a present. That’s a dog.” “It’s wearing a bow.” “So do many dogs.” The box wriggled. Bill lowered it gently. A small terrier popped out and licked his hand. At that moment, Leon stepped into the kitchen. He looked at the empty present table, the laundry basket, and the two adults in ridiculous costumes. “Are you stealing my presents?” Molly straightened. “We were conducting a surprise audit.” “Why?” “To make sure they’re good,” Bill said. Leon considered this. “Can you check the big one first?” Bill blinked. “What’s in it?” “A drum.” Molly sighed. “We’re returning everything.” “Even the drum?” Leon asked. “Especially the drum,” said Bill. Outside, the children cheered as Molly resumed juggling. Leon watched from the doorway, clutching the terrier. “Are they going to jail?” he asked his mother. “Probably,” she said. Bill dropped an orange. “Then can they take the drum?” Leon asked. “No,” said Molly. “But we’ll teach you the card trick.”
created_at
"2026-09-23T08:20:48.384Z"
9/23/2026, 8:20:48 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1524
moderation_latency
(null)
generation_time
8626
tokens_prompt
75
tokens_completion
928
native_tokens_prompt
66
native_tokens_completion
752
native_tokens_completion_images
0
native_tokens_reasoning
0
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
0.0003826
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790151648-NuYcQmp2fyWymd8k5v2t"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790151648-4uv7FZpvGmwbHlJsGdkv"
upstream_id
"resp_079afc6cd519bd3e016ab38be08af487d1b1d38bc6fc52ea8e"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_079afc6cd519bd3e016ab38be08af487d1b1d38bc6fc52ea8e"
is_byok
false
latency
417
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0003826
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
543
1.98%
Dialogue to Total Word Ratio
Ratio: 38.86%, Deviation: 8.86%
neededClean
false
wordsTotal
543
wordsDialogue
211
0.9887%