Run: 2026-03-18-01KM08K0J860KV5GJR38RJZD0M

Run Details

Duration:
3.8s
Cost:
$0.002215
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 bright little jingle as Nora came in from the misty street, bringing a gust of cold air and the smell of wet leaves. “You’re late,” Mrs. Finch called from behind the counter, where a row of pear tarts cooled beneath a wire rack. “I found a clue.” Mrs. Finch’s hands stilled over the pastry brush. “That sounds much less pleasant than the last time you said it.” “It was in the flour bin at the library fundraiser. A silver spoon. Not a regular one—engraved with a sunflower.” Mrs. Finch’s eyes narrowed. “Sunflowers don’t belong in flour bins.” “No. But they do belong on the old Hazelton tea service.” The baker glanced toward the back room, then lowered her voice. “You’ve been asking about that missing set all week.” “And you’ve been pretending you don’t care.” A thin line formed between Mrs. Finch’s brows, but the corners of her mouth twitched. “I care very much. Especially if someone has been sneaking into my bakery after closing.” Nora leaned closer. “You think it’s connected?” “I think,” Mrs. Finch said, lifting a tart and setting it on a plate, “that if someone hid a stolen spoon in my flour, they were either very foolish or very hungry.” Outside, the church clock struck noon. “Which do you prefer?” Mrs. Finch slid the tart across the counter. “In this town? Both usually lead to trouble. Eat first. Investigate after.”
created_at"2026-03-18T10:41:45.046Z" 3/18/2026, 10:41:45 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3308
moderation_latency(null)
generation_time3559
tokens_prompt81
tokens_completion522
native_tokens_prompt67
native_tokens_completion481
native_tokens_completion_images0
native_tokens_reasoning159
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"
usage0.00221475
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0fd803f1f95f4e0b0169ba81691db08194826929d4dbcf809e"
is_byokfalse
latency174
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-1773830505-XTSGKtZ1bAEP8OfYm7VT"
upstream_id"resp_0fd803f1f95f4e0b0169ba81691db08194826929d4dbcf809e"
total_cost0.00221475
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"Finch said"