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Run: 2026-03-18-01KM08CTQZBX8V99E0928DWZNV
Run Details
Model:
GPT-5.4 Nano (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1.6s
Cost:
$0.000385
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 over the door gave a tired jingle as the late-afternoon light stretched across the glass pastry case. Cinnamon rolls cooled under a cloud of vanilla glaze, and the air smelled like comfort with a faint edge of trouble. “Did you see who bought the last batch of lemon tarts?”
Nora asked
, wiping flour from her hands even though the counter was spotless. “It wasn’t who,”
Jules said
, nodding toward the window. “It was how. She kept looking over her shoulder like the frosting was hiding evidence.” Nora leaned closer to the display, lowering her voice. “Then why did she ask for extra zest? People don’t do that unless they’re trying to cover a taste.” Jules pulled open the ledger and tapped a finger on the day’s purchases. “And she paid cash, exact change. That’s either a sweet tooth with good manners—or someone who doesn’t want a paper trail.” Nora’s eyes flicked to the register, where the drawer looked perfectly shut. “Last night, I counted the till. Today, it’s short by ten dollars.” Jules studied a crumb trail along the prep table, faint as a clue in a detective show. “Maybe ten dollars isn’t the point,”
she said
. “Maybe it’s the distraction.” Nora exhaled, reaching for the cooling rack. “Then we’ll make sure she doesn’t get away with it—one tart at a time.”
created_at
"2026-03-18T10:38:22.478Z"
3/18/2026, 10:38:22 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
355
moderation_latency
(null)
generation_time
1378
tokens_prompt
81
tokens_completion
357
native_tokens_prompt
67
native_tokens_completion
297
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
0.00038465
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_01b31bffcd0745cf0169ba809e8cd081979f0760f7155589b9"
is_byok
false
latency
190
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-1773830302-bY3kHrjyjXLbFbbaq7bp"
upstream_id
"resp_01b31bffcd0745cf0169ba809e8cd081979f0760f7155589b9"
total_cost
0.00038465
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
1.11%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"Nora asked"
1
"Jules said"
2
"she said"