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Run: 2026-10-06-01M48VWV95NFGNZSDX7AX5BR6W
Run Details
Model:
Mistral Large 4.0
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
11.9s
Cost:
$0.000798
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
0.49%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.2460%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 party invitation across the kitchen table like it was a treasure map. "Three o'clock, Saturday, Henderson Community Center. Fifty kids. Fifty presents." Bill squinted at the glittery unicorn border. "We're stealing from children?" "We're stealing from parents who bought too much. There's a difference." "There's a difference between a child and a parent?" "Yes, Bill. The child wants the toy. The parent wants the credit card points." Bill leaned back in his chair. "What's the angle?" "Inflatable bounce house. We pose as entertainers. I'll be 'Princess Glitter,' you'll be... whatever that is." "That's a clown." "I was going to say 'mysterious balloon artist.'" "You can't do balloon animals." "I can if they're shaped like getaway vehicles." Bill rubbed his chin. "Security?" "One teenager with a walkie-talkie and a dream of being a mall cop." "And the presents?" "Storage closet, northeast corner. We grab, we go, we sell everything on Facebook Marketplace before the sugar crash hits." "What if we get caught?" Molly smiled, sharp and bright. "Then we tell them we're doing research for a book." "What book?" "'How Not to Run a Children's Party.' Very educational." Bill nodded slowly. "I like it. But I'm keeping the walkie-talkie." "Deal. But I get the unicorn costume." "Absolutely not." "Then we're not doing this." Bill sighed, defeated. "Fine. But I'm adding glitter to my beard. Non-negotiable."
created_at
"2026-10-06T15:04:14.9Z"
10/6/2026, 3:04:14 PM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4500
moderation_latency
(null)
generation_time
11815
tokens_prompt
75
tokens_completion
374
native_tokens_prompt
79
native_tokens_completion
356
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
0.00079776
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791299054-DdtZniOkzrfbjEJkQFsC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791299054-jJX8t1AwFWMs9bzJxgW0"
upstream_id
"35f716e12f08492abce41ddb04fdd248"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"35f716e12f08492abce41ddb04fdd248"
is_byok
false
latency
4500
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.00079776
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
0.49%
Matches word count
n/a
neededClean
false
words
227
0.00%
Dialogue to Total Word Ratio
Ratio: 81.30%, Deviation: 31.30%
neededClean
false
wordsTotal
230
wordsDialogue
187
0.2460%