NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-10-07-01M4AVNG1EM3HYTZPH6DM3P62G
Run Details
Model:
Mistral Medium 3.5
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
4.9s
Cost:
$0.004247
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
85.93%
Dialogue to Total Word Ratio
(details)
42.9643%
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 mirror and turned to Bill. "You sure this is the right move? Stealing from kids?" Bill shrugged, stuffing a sack of fake coal into his duffel. "Kids don’t need presents. They’ve got imagination. Besides, these are rich kids. They’ll just get more." "Rich kids still cry," Molly said, tugging at her beard. "And their parents have lawyers." Bill waved a hand. "Relax. We’ll be in and out before the cake’s even cut. The piñata’s the real vault here." Molly raised an eyebrow. "The piñata? You’re telling me the presents are inside the piñata?" "Of course! Where else would they be? It’s a kids’ party. The piñata’s the treasure chest." Molly groaned. "So we’re breaking into a party to steal a paper mache donkey full of toys?" Bill grinned. "A paper mache donkey full of *expensive* toys. Have you seen the price of LEGO sets these days?" Molly rubbed her temples. "Okay, fine. How do we even get in? It’s a private party. There’s probably a bouncer." Bill pulled out two clown noses from his pocket. "We’re the entertainment." Molly stared. "You want us to *perform*?" "Not perform. Distract. You juggle, I’ll do the balloon animals. Meanwhile, I’ll be casing the joint." Molly threw her hands up. "I don’t know how to juggle!" Bill tossed her three oranges. "Learn fast. Or we’re both going to jail for making kids cry." Molly caught an orange against her chest. "This is a terrible plan." Bill clapped her on the back. "It’s a *classic* plan. Now, let’s go make some memories." Molly sighed. "I hate you." Bill grinned. "No, you don’t. You love the thrill." Molly adjusted her hat again. "I love not getting arrested." Bill grabbed her arm. "Too late for cold feet. The clown car’s here." Molly looked out the window at the tiny vehicle. "That’s not a clown car. That’s a *real* car." Bill winked. "Metaphorically speaking. Now, let’s go steal some joy." Molly groaned but followed him out the door. "If we get caught, I’m blaming you." Bill laughed. "If we get caught, we’ll both be blaming the piñata."
created_at
"2026-10-07T09:38:42.87Z"
10/7/2026, 9:38:42 AM
model
"mistralai/mistral-medium-3.5-20260430"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
292
moderation_latency
(null)
generation_time
4872
tokens_prompt
75
tokens_completion
550
native_tokens_prompt
81
native_tokens_completion
550
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
0.0042465
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791365922-yYlu77AjAfcLxD5M2STl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791365922-xgZokoTtSzDJiZaT5Pn0"
upstream_id
"446b6c403319428ea6b0eb9ebf225a6f"
provider_responses
0
endpoint_id
"d21d316f-d540-4718-b36e-3beff85d0cf9"
id
"446b6c403319428ea6b0eb9ebf225a6f"
is_byok
false
latency
292
model_permaslug
"mistralai/mistral-medium-3.5-20260430"
provider_name
"Mistral"
status
200
total_cost
0.0042465
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
356
85.93%
Dialogue to Total Word Ratio
Ratio: 68.26%, Deviation: 1.74%
neededClean
false
wordsTotal
356
wordsDialogue
243
42.9643%