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Run: 2026-03-18-01KM09Y8G3JARJ550N86355FG4
Run Details
Model:
GPT-5.4 Nano (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1.9s
Cost:
$0.000360
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
Cinnamon rolls cooled on wire racks, sending a warm haze through the little bakery. Outside the front window, sleet tapped the glass like impatient fingers. “Tell me you didn’t taste the evidence again,”
Margo said
, wiping sugar dust off the counter with a towel that had seen better croissants. “It’s not evidence,”
Nora replied
, sliding a tray of lemon bars into place. “It’s quality control. Besides, whoever cut the ribbon on the charity bake-off last night didn’t do it for the frosting. They did it for the money in the tip jar.” Margo leaned closer, lowering her voice the way she always did around secrets and scones. “The jar was still sealed when I left. Sealed.” “So it was opened sometime after you,”
Nora said
, eyes flicking to the display case. The pastry knife sat exactly where it belonged, bright handle and all. “Or someone put it back the way it was and hoped we’d all blame the cold. People love blaming weather.” Margo’s gaze narrowed. “Who brought the ribbon in, then?” “A woman with gloves,”
Nora said
. “Left them on the counter by the cookie cutters.” “Did you…?” “Not yet. I’m saving them,”
Nora said
, and her smile turned careful. “For when we need to ask better questions.”
created_at
"2026-03-18T11:05:22.193Z"
3/18/2026, 11:05:22 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
456
moderation_latency
(null)
generation_time
1688
tokens_prompt
81
tokens_completion
338
native_tokens_prompt
67
native_tokens_completion
277
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
0.00035965
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_034ee0b81cdbadeb0169ba86f241508193b2711808311cdc71"
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-1773831922-cGUapAbGrY2SujE34Imu"
upstream_id
"resp_034ee0b81cdbadeb0169ba86f241508193b2711808311cdc71"
total_cost
0.00035965
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
"Margo said"
1
"Nora replied"
2
"Nora said"
3
"Nora said"
4
"Nora said"