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Run: 2026-03-18-01KM0AG74V4NQ1XMZZQ7XJR054
Run Details
Model:
GPT-5.4 Nano (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
3.9s
Cost:
$0.000500
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.03%
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-scented bell over the door chimed, and Maribel wiped her hands on her apron as the morning rush simmered down to a hum. On the counter, a tray of almond croissants cooled under a paper cloth. “Those berries look brighter than usual,”
a customer murmured
, peering at the display case. “They were delivered before sunrise,”
Maribel said
, sliding a small cup of glaze aside. “I almost didn’t recognize the driver’s van.” “The one with the dented bumper?” Maribel paused, then nodded toward the back hallway. “He keeps asking if we’ve gotten the new oven timer yet. Like he’s checking inventory.” “Or like he’s looking for something else.” Outside, a wagon rumbled past the window. Inside, the bakery clock ticked louder than it should’ve, as if it had opinions. “What did you find?”
Maribel asked
, reaching beneath the counter. The customer leaned in. “A receipt. Crumpled. In the flour bin.” Maribel’s fingers tightened around the paper. “It’s from Lark Street Grocers. But we don’t buy flour there.” “Someone does,”
the customer said
, eyes on the register drawer. “And someone thinks no one notices when a bag’s already been opened.” Maribel exhaled slowly. “Well. Today, we’re going to notice.”
created_at
"2026-03-18T11:15:10.631Z"
3/18/2026, 11:15:10 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3417
moderation_latency
(null)
generation_time
3756
tokens_prompt
81
tokens_completion
469
native_tokens_prompt
67
native_tokens_completion
389
native_tokens_completion_images
0
native_tokens_reasoning
102
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
0.00049965
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_03e5027190e5c1870169ba893eaf708196b7a4eba48e6ef6e7"
is_byok
false
latency
186
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-1773832510-pkzQO7z840mywcgo9lWc"
upstream_id
"resp_03e5027190e5c1870169ba893eaf708196b7a4eba48e6ef6e7"
total_cost
0.00049965
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
0.03%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"a customer murmured"
1
"Maribel said"
2
"Maribel asked"
3
"the customer said"