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Run: 2026-10-07-01M4ATRBAKGT0P1EW24V9A6XPD
Run Details
Model:
Mistral Large 4.0 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
596
moderation_latency
(null)
generation_time
167055
tokens_prompt
75
tokens_completion
9628
native_tokens_prompt
67
native_tokens_completion
11267
native_tokens_completion_images
(null)
native_tokens_reasoning
9279
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
"default"
usage
0.02359359
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
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"e5c8e5746722443fab704b7410b169e9"
is_byok
false
latency
566
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.02359359
cache_discount
(null)
upstream_inference_cost
0
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
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 10.68%, Deviation: 0.68%
neededClean
false
wordsTotal
206
wordsDialogue
22
99.9989%