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Run: 2026-10-07-01M4AT1MFZQ1G1F62X5AW7DN1Q
Run Details
Model:
Mistral Medium 3.5
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
6.9s
Cost:
$0.005446
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
47.54%
Dialogue to Total Word Ratio
(details)
23.7719%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 adjusted her Santa hat in the dim glow of the alleyway. The distant sound of children laughing and pop music blaring from the community center made her wince. "Remind me again why we’re robbing a bunch of six-year-olds?" Bill muttered, tugging at his fake beard. It kept slipping over one eye. "Because, genius, that’s where the good loot is. Parents go all out for birthday parties these days. iPads, gaming consoles, cold hard cash in cards. You ever seen a kid open a present and go, ‘Oh, socks. Just what I wanted’?" Bill scratched his chin. "Fair point. But what’s the play? We can’t just waltz in there." "Course not. We’re the entertainment." Molly held up two badges. "I ‘borrowed’ these from the magician’s car. We’re the new clown duo, Bubble and Squeak." Bill squinted. "Bubble and Squeak?" "Improvise. Kids love clowns." "Kids are terrified of clowns." "Then we’ll be terrifyingly efficient." Molly grinned. "We get in, ‘perform’—which mostly means you juggle while I case the presents—then we grab the haul and bail before the cake’s cut." Bill sighed. "And if someone asks why there’s no bubbles or squeaking?" "Tell ‘em it’s avant-garde." Molly checked her watch. "Five minutes. You ready?" Bill adjusted his oversized shoes. "I feel like we’re the villains in a very sad story." "Nah, we’re the heroes. Those kids don’t need all that stuff. They’ve got imagination. We’ve got rent." Molly patted his shoulder. "Besides, ever tried to fence a piñata? They’re basically pre-broken." Bill groaned. "This is a new low." "Nah, new low was the pet store job. Remember the parrot?" Bill shuddered. "That bird still haunts me." "Exactly. This’ll be a breeze." Molly straightened her hat. "Now, when we go in, you distract the moms with your ‘charming’ personality." Bill scoffed. "My charm’s why we’re in this mess." "And I’ll be over by the gift table, swapping presents for the decoys I stuffed in this sack." She heaved a burlap bag onto her shoulder. "Empty boxes, same wrapping paper. By the time they notice, we’ll be halfway to the pawn shop." Bill rubbed his temples. "What if a kid grabs a present early?" Molly pulled a lollipop from her pocket. "Bribery. Works every time." Bill stared at the lollipop. "You’re giving a kid a lollipop to not open their own present?" "Yep. Kid logic’s simple—sugar now beats mystery later." She tossed him a second lollipop. "Keep one for yourself. You look like you need it." Bill caught it. "I *do* need it." He took a deep breath. "Alright, let’s do this. But if we get caught, I’m blaming the clown names." Molly smirked. "Deal. Now smile. We’re about to make a room full of children very confused."
created_at
"2026-10-07T09:10:23.493Z"
10/7/2026, 9:10:23 AM
model
"mistralai/mistral-medium-3.5-20260430"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
250
moderation_latency
(null)
generation_time
6883
tokens_prompt
75
tokens_completion
714
native_tokens_prompt
81
native_tokens_completion
710
native_tokens_completion_images
(null)
native_tokens_reasoning
0
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
0.0054465
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791364223-bYGZzblOVfvQtZC915lq"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791364223-DCLu9gjen3XoD2Ej49tf"
upstream_id
"b464529830d242e7857a3662ab2208f5"
provider_responses
0
endpoint_id
"d21d316f-d540-4718-b36e-3beff85d0cf9"
id
"b464529830d242e7857a3662ab2208f5"
is_byok
false
latency
250
model_permaslug
"mistralai/mistral-medium-3.5-20260430"
provider_name
"Mistral"
status
200
total_cost
0.0054465
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
0.00%
Matches word count
n/a
neededClean
false
words
456
47.54%
Dialogue to Total Word Ratio
Ratio: 73.86%, Deviation: 3.86%
neededClean
false
wordsTotal
459
wordsDialogue
339
23.7719%