Run: 2026-10-07-01M4AVC7HB5PA643BC5RAEZS62

Run Details

Duration:
1m 39s
Cost:
$0.009611
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
100.00% 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

AI
"The vanilla extract bottle is completely empty." "Empty? I bought three yesterday morning at the market." "Check the icebox in the back. Someone's been helping themselves to more than just a taste." "But the kitchen door was locked when I came in at six." "Was it? Look at the flour dusting on the marble counter. Fresh, isn't it? And that smudge on the rolling pin." "That's from the cinnamon rolls I shaped." "Cinnamon doesn't leave handprints like that." A bell chimed above the entrance. "Early customer?" "No, wait. That's not the door—that's the oven timer." "The croissants. You set them for twenty minutes, didn't you?" "Twenty-five. I distinctly remember setting it for twenty-five, right before I stepped out." "Someone turned the dial while you were out front sweeping the sidewalk." "I was only gone for two minutes." "Long enough to take the extract, the secret spice blend, and the index card from my apron pocket." "The one with the blueberry stains on the corner?" "The very same." "Then we'd better solve this before Mrs. Henderson arrives for her usual at seven sharp." "Agreed. And check the security camera by the register." "Already done. The footage shows static... and a shadow wearing an apron." "A shadow with flour on its sleeve?" "White flour. Just like the print on the counter."
created_at"2026-10-07T09:33:39.254Z" 10/7/2026, 9:33:39 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency936
moderation_latency(null)
generation_time99092
tokens_prompt78
tokens_completion4641
native_tokens_prompt67
native_tokens_completion4577
native_tokens_completion_images(null)
native_tokens_reasoning4297
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier"default"
usage0.00961149
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791365619-CACLZZLWmJY02IsKcVNC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791365619-VB2wZkvjSBJy9BltWGYR"
upstream_id"781346881c6e4db6b9093ac36241bfb4"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"781346881c6e4db6b9093ac36241bfb4"
is_byokfalse
latency931
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.00961149
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Count dialogue tags n/a
neededCleanfalse
dialogueTags(empty)