Run: 2026-10-07-01M4ATRBAKGT0P1EW24V9A6XPD

Run Details

Duration:
2m 47s
Cost:
$0.023594
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9989% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly spread the crayon-scrawled invitation across the sticky kitchen table, studying the glitter-sprinkled dinosaur with professional intensity. She pointed at the sunroom layout with a manicured nail. The target was clear: Billy Henderson's fifth birthday party on Saturday at noon, featuring an unsupervised gift table and absolutely zero security beyond one distracted mother and a clown with a water pistol. Bill adjusted his balaclava, currently a modified wool beanie with crude eye holes that made him resemble a bewildered root vegetable. He examined the crayon-drawn map with the gravity of a bomb defusal expert, nodding slowly at the pinata location and the estimated value of vintage Furby collectibles. Molly pulled out a laminated spreadsheet color-coded by black market toy value, her eyes gleaming with criminal ambition. They would hit the pinata first for loose candy, then systematically clear the main stash before the cake arrived with surgical precision. Bill blinked through his eye holes, his expression tragically earnest despite the ridiculous headwear. "Forty-year-old felons with warrants," Bill muttered, adjusting the beanie. Molly smiled, revealing teeth that hadn't seen a dentist since the Obama administration. "They expect children, not criminals." "What about government identification checks?" "We'll simply claim we're fashionably late."
created_at"2026-10-07T09:22:47.773Z" 10/7/2026, 9:22:47 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency596
moderation_latency(null)
generation_time167055
tokens_prompt75
tokens_completion9628
native_tokens_prompt67
native_tokens_completion11267
native_tokens_completion_images(null)
native_tokens_reasoning9279
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"
usage0.02359359
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791364967-dZLI9nCxqa1zUff1J2Q0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791364967-gqrbhLzuTvYxME3J9iqc"
upstream_id"e5c8e5746722443fab704b7410b169e9"
provider_responses
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endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"e5c8e5746722443fab704b7410b169e9"
is_byokfalse
latency566
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.02359359
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% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.68%, Deviation: 0.68%
neededCleanfalse
wordsTotal206
wordsDialogue22
99.9989%