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Run: 2026-03-18-01KM0A6FV2GWVFEZRE6J0VY6SA
Run Details
Model:
GPT-5.4 Nano (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1.7s
Cost:
$0.000361
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
13.53%
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 softly as Mara wiped her hands on her apron and leaned over the display case. Cinnamon rolls glistened under the lights, and the air smelled like butter and second chances. “Someone took the fancy macaron tin off the counter,”
Juniper said
, voice low as she reached for a tray of éclairs. “I watched it sit there all morning. Then—gone.” Mara frowned, peering at the empty spot where the tin had been. “Maybe it fell behind the flour bins?” “It didn’t,”
Juniper said
. “There’s a dust trail, like it was carried out clean. And you know who likes clean.” Mara’s eyes flicked to the back door, where a broom leaned against the wall. “Mrs. Pell was asking about the charity raffle. She kept calling it ‘an investment’.” Juniper set down the éclairs with a careful clink. “And Trevor from the hardware store says he ‘knows people.’” Mara opened a drawer, rummaged, and pulled out the small key they used for the locked storage closet. “Then we’re checking the cameras. If the tin’s in there, it’ll tell us who’s lying.” Juniper smiled without warmth. “Good. I’d hate for dessert to be the only thing with secrets tonight.”
created_at
"2026-03-18T11:09:51.855Z"
3/18/2026, 11:09:51 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
452
moderation_latency
(null)
generation_time
1486
tokens_prompt
81
tokens_completion
326
native_tokens_prompt
67
native_tokens_completion
278
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
0.0003609
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0e586f4973be5df50169ba87ffe9dc819094a2f2c2094a898f"
is_byok
false
latency
173
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-1773832191-dTyGgVXJKcdCLSWNSM3R"
upstream_id
"resp_0e586f4973be5df50169ba87ffe9dc819094a2f2c2094a898f"
total_cost
0.0003609
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
13.53%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"Juniper said"
1
"Juniper said"