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Run: 2026-10-07-01M4ASZCRVTZ3PY5AGDG1V7EKM
Run Details
Model:
Mistral Large 4.0 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
3m 25s
Cost:
$0.041076
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
99.51%
Dialogue to Total Word Ratio
(details)
99.1126%
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
The storage unit smelled like mildew and dreams. Molly laid a map of the Henderson Community Center across a folding table littered with stolen party favors. Bill clutched a juice box, sweating in his ski mask. "So we're really doing this," Bill said. "Six-year-olds, Molly. They have karate skills and juice boxes with enough sugar to fuel a small nation." "They also have presents," Molly corrected, tapping a purple gift bag. "Unopened. With receipt tags still attached. Do you know what a LEGO Architecture set costs retail these days? Three hundred dollars, Bill. Three hundred dollars of molded plastic." "My nephew's birthday is next week," Bill said, squeezing the juice box until it burst. "I could just buy him something. Ethically. Like a normal uncle." "Where's the fun in that?" Molly pulled out a grappling hook fashioned from a wire coat hanger and dental floss. "The Henderson kid is turning seven at the community center. Pinata at three o'clock sharp. We infiltrate through the bounce house during the Macarena. It's the perfect distraction." "That's physically impossible," Bill said. "Challenge accepted." Molly kissed her teeth and adjusted her tiara. "Think of it as redistributing wealth from the birthday industrial complex. Those kids don't need three hundred dollars of plastic. We do. I need to pay off my probation officer before he revokes my parole." "Your probation officer collects protection money?" "I owe him for the incident at the aquarium. The penguins still haven't forgiven me." "The plan is we dress as clowns?" Bill asked, horrified. "We dress as 'entertainment consultants,'" Molly said, producing two laminated name tags. "'Bob' and 'Bob.' Very official government issue." "Both named Bob?" "Camouflage. Nobody remembers a Bob. We could rob the place wearing tutus and nobody would recall it." "We'll get caught. Mrs. Henderson has a taser. I saw it in her purse at the PTA meeting. She also has a black belt in Tae Kwon Do." "Then we don't let her tase us." Molly checked her watch. "Two-fifteen PM. We slide in during the cake ceremony. I've got the van parked behind the dumpster. The getaway route involves jumping a chain-link fence, three alleys, and my cousin's Honda, which only has three working windows and a horn that plays La Cucaracha." "Plus, the pinata is weighted," Molly added. "I did reconnaissance last Tuesday. It's filled with king-size candy bars and loose change. Bonus loot." "This sounds like a disaster waiting to happen." "All legendary heists start as disasters." Molly grabbed a plastic sword and swung it wildly, nearly decapitating a My Little Pony. "Operation Birthday Bandit commences at dusk. Bring the crowbar and your best lying face." "I thought we were using subtlety?" "We're using stealth, Bill. Stealth and glitter. Lots of glitter. The biodegradable kind. We're eco-conscious criminals." Bill sighed and picked up a party hat, placing it crookedly on his head. Somewhere distant, a child laughed. The tiara caught the fluorescent light and threw rainbows across the concrete floor as Molly sharpened her grappling hook against a folding chair.
created_at
"2026-10-07T09:09:10.052Z"
10/7/2026, 9:09:10 AM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
599
moderation_latency
(null)
generation_time
204624
tokens_prompt
75
tokens_completion
16996
native_tokens_prompt
67
native_tokens_completion
19632
native_tokens_completion_images
(null)
native_tokens_reasoning
16198
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
0.04107644
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791364150-89xJxAicr1NEMh538ucM"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791364150-rxBGI6FSms3L7Pd54C2e"
upstream_id
"3717db488d50408c8f0d00fa72579ec1"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"3717db488d50408c8f0d00fa72579ec1"
is_byok
false
latency
585
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.04107644
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
98.71%
Matches word count
n/a
neededClean
false
words
506
99.51%
Dialogue to Total Word Ratio
Ratio: 70.31%, Deviation: 0.31%
neededClean
false
wordsTotal
512
wordsDialogue
360
99.1126%