Run: 2026-03-18-01KM0ACYZHJ7J2XPZTYG6QDTBF

Run Details

Duration:
2.3s
Cost:
$0.001495
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
60.65% 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

AI
The bell over the bakery door gave a cheerful jingle as Clara stepped inside, bringing a gust of October air with her. Warmth wrapped around her at once, thick with the smell of cinnamon, butter, and fresh bread. “You’re late.” “I know.” “Three minutes.” “You counted?” “I also counted the croissants. One batch short.” Clara set her bag on the counter and peered toward the glass case. “That’s impossible. I baked enough for the morning rush.” “Then explain why Mrs. Pritchard just left with her usual six and Mr. Bellamy took the last cheese scone.” “He took your cheese scone?” “He called it a public service.” A laugh slipped out before Clara could stop it. Behind the counter, the flour-dusted register sat open, and the tin of ginger snaps was empty except for crumbs. “Did anyone else come in?” “Only the mayor, looking suspiciously pleased with himself.” “That’s never a good sign.” “No. Especially since he asked whether you were ‘the sort who keeps secrets.’” Clara froze. “What did you say?” “That secrets were best served with coffee, and he should order a cinnamon roll if he wanted any from me.” Outside, the rain tapped softly against the window. Clara glanced at the back door, where a muddy footprint marked the tile. “Well,” she said, lowering her voice, “I think somebody’s been in here before I arrived.” “Good.” “Good?” “Now we have an excuse to open the almond tarts early.”
created_at"2026-03-18T11:13:23.967Z" 3/18/2026, 11:13:23 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency378
moderation_latency(null)
generation_time2129
tokens_prompt81
tokens_completion421
native_tokens_prompt67
native_tokens_completion321
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.00149475
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0a2e94df02fb55ca0169ba88d40a1081978e818b5d825c95fb"
is_byokfalse
latency204
model_permaslug"openai/gpt-5.4-mini-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773832403-ORGazVnxXtvte4d2pIaU"
upstream_id"resp_0a2e94df02fb55ca0169ba88d40a1081978e818b5d825c95fb"
total_cost0.00149475
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
60.65% Count dialogue tags n/a
neededCleanfalse
dialogueTags
0"she said"