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Run: 2026-10-07-01M4AV74N8F2JB0CZ6DR7P6TR9
Run Details
Model:
Mistral Large 4.0 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
6m 39s
Cost:
$0.060963
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
9.30%
Dialogue to Total Word Ratio
(details)
4.6483%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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
The fluorescent light in the Denny's booth flickered, casting shadows across the laminated table where Molly spread her notebook. She clicked her pen nervously. Outside, rain lashed against the windows. Molly wore a purple scarf. "We're going to rob a six-year-old's birthday party," Bill said, stirring his coffee. He set his spoon down with a clink. "I'm saying this so we hear it." Molly leaned forward. Her eyes gleamed with intent behind her glasses. "It's little Timmy Henderson's bash. Three piƱatas, Bill. A drone, a telescope, and a LEGO set of a Volkswagen." "So we dress as clowns?" Bill asked, his voice cracking slightly with worry. "We dress as clown," she confirmed. She tapped her pen on the Formica. "Pennywise and Ronald McDonald. Distract them with balloon animals, and load the trunk." Bill stared at her. He touched his beard thoughtfully. "You want me in greasepaint? Molly, I have a criminal beard. I look like I guard vaults, not juggle chainsaws for toddlers." "Exactly," Molly said, sliding a photo across the table. The photo showed wrapping paper stacked like a fortress. "That's a college fund right there. A down payment on a condo." Bill picked up the photo. His eyes widened like saucers behind his glasses. "Is that a signed first edition of 'Where the Wild Things Are'?" "Mint condition. We could fence it for five grand, maybe six if we play our cards right." "But the children," Bill said. His voice dropped to a whisper. He set down his spoon. "They'll watch us load their presents into a car. They'll never trust a clown again. Clown trust is the bedrock of childhood!" Molly pulled a grappling hook from her purse. It made a thud. "This is about math, Bill. Twelve kids, two hundred dollars average. Twenty-four hundred in merchandise. Eleven hundred each." Bill stared at the hook. Bill looked horrified. "Climbing gear in a purse at Denny's?" "It's a Tuesday," Molly said. She smiled a shark's smile. "The Hendersons have a balcony overlooking the gifts. I rappel down at 3 PM, you release crickets into the cake table, and we're gone." "And if we get caught?" Bill asked nervously, glancing at the door. "If Timmy sees Ronald McDonald stuffing a telescope in a bag?" Molly grinned. She leaned in close, smelling of coffee. "Then we say we're undercover. Investigating birthday fraud. The presents are evidence." Bill sighed, reaching for his cold coffee. He stroked his beard thoughtfully. "Fine. But no face paint. I keep my beard visible. I need some dignity." "Deal," Molly said, extending her hand. Her handshake was firm. "Tonight, we become monsters." "We're already monsters," Bill muttered. He looked conflicted. "We just usually steal from adults who can fight back."
created_at
"2026-10-07T09:30:52.466Z"
10/7/2026, 9:30:52 AM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
633
moderation_latency
(null)
generation_time
398842
tokens_prompt
75
tokens_completion
25151
native_tokens_prompt
67
native_tokens_completion
29147
native_tokens_completion_images
(null)
native_tokens_reasoning
24458
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
0.06096279
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791365452-XPmTYCGEF8IgNk17wBno"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791365452-dc4IO3sDOQ9amf3TbDV2"
upstream_id
"410c245e046a4829a271128f6e46e839"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"410c245e046a4829a271128f6e46e839"
is_byok
false
latency
612
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.06096279
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
454
9.30%
Dialogue to Total Word Ratio
Ratio: 56.89%, Deviation: 6.89%
neededClean
false
wordsTotal
457
wordsDialogue
260
4.6483%