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Run: 2026-09-23-01M36NK1NZRFWJVY48ZT51279Z
Run Details
Model:
GPT-6 Luna
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
6.4s
Cost:
$0.000173
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
1.11%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
The bell above the bakery door gave a tired little jingle as rain swept in behind Elsie. “Your sleeves are dripping on the lemon tarts.” “Then the lemon tarts should be grateful for the company.” “You’re avoiding the question.” “I’m avoiding several questions. It’s a small town; they travel in packs.” The ovens hummed, warming the windows while rain blurred the street outside. Elsie peeled off one glove and set a brass key on the counter. “I found it under Mr. Vale’s chair at the church supper.” “Does it open anything?” “His office. Or the locked cabinet in the vestry. I haven’t decided which is more alarming.” “Neither is as alarming as finding him face-down beside the pie table.” Elsie glanced toward the empty café. “You saw the flour on his coat?” “I saw everything. He’d been in here that morning, asking whether we still kept the old delivery ledger.” The baker’s hand paused over a tray of cinnamon buns. “Why would a church treasurer care about our ledger?” “Because someone altered the charity account, and the ledger records every delivery we made to the vicarage.” The bell jingled again. Both women looked up. A man in a rain-darkened coat stood in the doorway, staring at the key. “Is that what you’re looking for?”
Elsie asked
. “I was hoping,”
he said
, “you’d found something less incriminating.” The baker reached for the rolling pin. “We’ve got stale scones.” “Those will do,”
he said
, stepping inside. “For now.”
created_at
"2026-09-23T08:19:51.621Z"
9/23/2026, 8:19:51 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1975
moderation_latency
(null)
generation_time
6399
tokens_prompt
78
tokens_completion
409
native_tokens_prompt
67
native_tokens_completion
333
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
0.0001732
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790151591-BmOSecA9333gj0pI0pKT"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790151591-IH9E5oCqfrNJ6MS6QkiL"
upstream_id
"resp_0d9bbb38490b9512016ab38ba7bb7487d18e8fecc5ba85f2b8"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0d9bbb38490b9512016ab38ba7bb7487d18e8fecc5ba85f2b8"
is_byok
false
latency
458
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0001732
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
1.11%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"Elsie asked"
1
"he said"
2
"he said"