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Run: 2026-07-09-01KX409NX6FDAMD0F6QQWEM0C8
Run Details
Model:
GPT-5.6 Luna
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
5.0s
Cost:
$0.004476
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
3.60%
Dialogue to Total Word Ratio
(details)
51.7938%
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
“We’re agreed,” Molly whispered, crouched behind the hedge. “We enter the children’s party, locate the presents, and leave before anyone notices.” Bill adjusted his enormous black scarf. “And if anyone does notice?” “We improvise.” “You always say that just before something explodes.” “Nothing exploded last time.” “The bakery’s oven exploded.” “Technically, it was already having a difficult day.” Bill peered through the fence. Beyond it, balloons bobbed above a rented hall, and a banner announced: HAPPY BIRTHDAY, TREVOR! A clown in a yellow wig guarded the entrance while children shrieked around a mountain of brightly wrapped gifts. “Why are we stealing presents from children?” Bill asked. “Because adults buy sensible things,” Molly said. “Children receive game consoles, miniature drones, and devices that can translate ancient languages.” “Trevor is six.” “Exactly. He may own a tablet with access to the internet.” Bill frowned. “That’s not a reason. That’s a public safety concern.” Molly handed him a clipboard. “You’re the entertainer.” “I’m dressed as a tax inspector.” “Children love bureaucracy.” “They don’t even know what bureaucracy is.” “That’s why it’s entertaining.” The clown suddenly turned toward them. Molly shoved Bill lower. “I’m beginning to think,” Bill whispered, “that stealing from a warehouse was less complicated.” “In a warehouse, there are cameras.” “There’s a clown here.” “Clowns are less reliable than cameras.” “That one is staring directly at us.” Molly stood and smiled. “Good afternoon! We’re from the Department of Birthday Compliance.” The clown narrowed his eyes. “You’re not on the guest list.” “Neither are you,” Bill said. Molly elbowed him. “We’re conducting a surprise inspection.” “Of what?” “Present security.” The clown folded his arms. “Present security?” “Very serious,” Molly said. “Unregistered wrapping paper can cause emotional distress.” A little girl approached, holding a plastic sword. “Are you robbers?” Bill brightened. “Yes.” Molly stepped on his foot. “No. We’re inspectors.” “Then why do you have a sack?” “For paperwork.” “Why is it empty?” “Administrative efficiency.” The girl pointed at Bill’s scarf. “That’s a burglar scarf.” Bill nodded solemnly. “It’s vintage.” Molly snatched the clipboard from him. “Let’s proceed. Bill, inspect the presents.” “Me?” “You’re the certified specialist.” “I am?” “You have the clipboard.” “That’s not certification.” “It is in this department.” They shuffled toward the gift pile. Molly lifted a glittering box. “This one appears suspicious.” Bill read the tag. “To Trevor, from Grandma.” “Classic cover identity,” Molly said. The clown grabbed her wrist. “Put it down.” At once, every child turned toward them. Molly sighed. “Fine. New plan.” Bill glanced at the exit. “Run?” “No. We tell the truth.” “You’ve lost your mind.” Molly raised her hands. “Everyone, we came to steal the presents.” The children gasped. Then Trevor shouted, “Cool! Are you villains?” Molly looked at Bill. “Apparently.” Bill grinned. “Do villains get cake?” The clown handed him a slice. Molly lowered her voice. “We’re changing the operation.” “To what?” “We steal the cake, leave the presents, and demand payment in frosting.” Bill considered this. “Finally, a professional plan.”
created_at
"2026-07-09T17:55:04.75Z"
7/9/2026, 5:55:04 PM
model
"openai/gpt-5.6-luna-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
501
moderation_latency
(null)
generation_time
4670
tokens_prompt
77
tokens_completion
1053
native_tokens_prompt
66
native_tokens_completion
735
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
0.004476
router
(null)
provider_responses
0
endpoint_id
"eebea444-34a5-4642-a766-cb319471d33a"
id
"resp_06154276d47b8180016a4fe078d758819680ebb60b77ed1753"
is_byok
false
latency
240
model_permaslug
"openai/gpt-5.6-luna-20260709"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1783619704-NOVeYvw1ZyEVexQoWAzJ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783619704-qRPj7hL9hSAFxP2UUsmM"
upstream_id
"resp_06154276d47b8180016a4fe078d758819680ebb60b77ed1753"
total_cost
0.004476
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
99.98%
Matches word count
n/a
neededClean
false
words
498
3.60%
Dialogue to Total Word Ratio
Ratio: 61.85%, Deviation: 8.15%
neededClean
false
wordsTotal
498
wordsDialogue
308
51.7938%