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Run: 2026-03-18-01KM07H91AA3RG3ZN7MTDN1R90
Run Details
Model:
GPT-5.4 Nano
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
2.4s
Cost:
$0.000397
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
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 over the bakery door chimed, warm air rolling out with the scent of cinnamon and yeast. “Morning,”
the woman behind the counter said
, slipping a tray into the oven with practiced care. “If you’re here for the honey buns, you’re just on time.” “I’m just here for proof,”
the visitor replied
, tugging off her gloves. “Someone said you’ve been buying those tiny saffron tins from the market on Alder Street.” The baker’s smile didn’t move much. “I buy saffron for holiday pastries. People like a little luxury when the season turns.” “I like answers when someone turns up missing,”
the visitor said
, leaning closer to the glass case where éclairs sat like polished secrets. “Last night, the mayor’s assistant came by looking for saffron. Then she disappeared before breakfast.” “People disappear all the time,”
the baker said
, wiping flour from her apron. “Usually into a perfectly good excuse.” The visitor’s eyes flicked to the back room door. “And sometimes,”
she murmured
, “into a pantry with a locked latch.” The baker’s hands paused. “Careful. That latch sticks.” “It sticks when it’s been used,”
the visitor said
softly, “and someone’s been fiddling with it.” A timer beeped. The baker glanced at the oven, then back at the customer. “Well,”
she said
, voice light as sponge cake, “today might be the day we untangle a few things.”
created_at
"2026-03-18T10:23:19.61Z"
3/18/2026, 10:23:19 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1065
moderation_latency
(null)
generation_time
2217
tokens_prompt
81
tokens_completion
385
native_tokens_prompt
67
native_tokens_completion
307
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)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
usage
0.00039715
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0ddc50287e920a9f0169ba7d17aa88819392747b2e0a9619ed"
is_byok
false
latency
170
model_permaslug
"openai/gpt-5.4-nano-20260317"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer
(null)
api_type
"completions"
id
"gen-1773829399-zgmheYRGGCQGcLtUyZUQ"
upstream_id
"resp_0ddc50287e920a9f0169ba7d17aa88819392747b2e0a9619ed"
total_cost
0.00039715
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"the woman behind the counter said"
1
"the visitor replied"
2
"the visitor said"
3
"the baker said"
4
"she murmured"
5
"the visitor said softly"
6
"she said"