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Run: 2026-09-23-01M36P2FN18ZDYTCXSAE20RMYX
Run Details
Model:
GPT-6 Luna
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
7.4s
Cost:
$0.000168
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
2.01%
Matches word count
(details)
2.69%
Dialogue to Total Word Ratio
(details)
2.3520%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 party invitation across the bonnet of their getaway van. “Four o’clock, cupcake theme, presents beside the cake,” she whispered. Bill peered through binoculars at the brightly decorated house. “Security?” “Two parents, one sleepy grandparent, and a golden retriever wearing a paper crown.” “Armed?” “With frosting, probably.” Their plan was simple: blend in, locate the gift table, and leave with every wrapped box before anyone noticed. Molly had acquired a pink party hat. Bill wore a balloon twisted into something he insisted was a swan. At the front door, a little girl greeted them. “Are you the magicians?” Bill froze. Molly smiled. “Absolutely. He’s the assistant.” Inside, children bounced around in sugar-fueled orbit. Bill began an improvised trick, producing a coin from behind a boy’s ear. The boy screamed with delight; three others demanded coins. Molly slipped toward the presents. A parent intercepted her. “You’re here for the birthday?” “Of course,” Molly said, lifting a box. “This one’s from us.” The parent glanced at the tag. It read: TO ELLIE, FROM GRANDMA. Molly tucked it back. The golden retriever had begun chewing Bill’s balloon swan, and Bill was negotiating its release with a cupcake. They left empty-handed, carrying party hats, sticky fingers, and a politely confiscated slice of cake. Outside, Molly sighed. “Next time, we rob a library.” “Too many books,” Bill said.
created_at
"2026-09-23T08:28:17.447Z"
9/23/2026, 8:28:17 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3390
moderation_latency
(null)
generation_time
7395
tokens_prompt
75
tokens_completion
389
native_tokens_prompt
66
native_tokens_completion
322
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
0.0001676
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790152097-bxZ2LtyfXEW7Yo6HMei1"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790152097-kBYpBTSTZyPEe32oC1Rr"
upstream_id
"resp_0e80bbf661f1517c016ab38da189c887d193b8a388a619b27e"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0e80bbf661f1517c016ab38da189c887d193b8a388a619b27e"
is_byok
false
latency
1623
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0001676
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
2.01%
Matches word count
n/a
neededClean
false
words
225
2.69%
Dialogue to Total Word Ratio
Ratio: 23.79%, Deviation: 13.79%
neededClean
false
wordsTotal
227
wordsDialogue
54
2.3520%