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Run: 2026-03-18-01KM07WPA74QEJ9BVSZ5RSC485
Run Details
Model:
GPT-5.4 Nano (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1.7s
Cost:
$0.000372
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 cinnamon rolls steamed in the window case like golden clouds, and the bell above the door gave a cheerful chime that didn’t quite match the tense silence at the counter. “Tell me you didn’t see him again.” “I didn’t,”
she said
, tugging her apron tighter. “But the baker’s ledger is missing, and the lock on the back cupboard was jimmied.” A customer in a tan coat hovered near the display, pretending to study the scones. “Who would do that?” “Someone who knows the schedule,” the second
voice replied
. “Who knows we count inventory after closing.” “I can’t believe it,”
she murmured
, eyeing the empty spot on the shelf where flour used to sit. “He swore he was just here for a donation for the school fair.” “He swore a lot of things.” The tray spatters on
his hands told
the truth—someone had been messing with more than dough. “Still smells like peppery cologne, too.” “Maybe he left it behind.” “Or maybe he wanted us to check the wrong shelf while he took the ledger.” The bell jingled again. “Then we should check the receipt book,”
she said
quickly. “Before anyone else comes in.” “Good,”
he replied
, sliding the cash drawer open with careful fingers. “Let’s start with what’s missing—and who paid in a hurry.”
created_at
"2026-03-18T10:29:33.655Z"
3/18/2026, 10:29:33 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
478
moderation_latency
(null)
generation_time
1537
tokens_prompt
81
tokens_completion
354
native_tokens_prompt
67
native_tokens_completion
287
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
0.00037215
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_05f53df418d55f070169ba7e8db9f08196928ecd7ec1ad1c75"
is_byok
false
latency
222
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-1773829773-XbXJSjVYY9mw5sMvSiTs"
upstream_id
"resp_05f53df418d55f070169ba7e8db9f08196928ecd7ec1ad1c75"
total_cost
0.00037215
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
"she said"
1
"voice replied"
2
"she murmured"
3
"his hands told"
4
"she said quickly"
5
"he replied"