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Run: 2026-10-07-01M4AT0YDXW1E87EKCXZQKSH3D
Run Details
Model:
Mistral Large 4.0 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
4m 4s
Cost:
$0.034290
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
99.98%
Dialogue to Total Word Ratio
(details)
99.6809%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 warehouse smelled. Molly spread blueprints. "So we go in through the bouncy castle at exactly 2:15," she said. Bill rubbed his temples. "You want to tunnel through an inflatable moon bounce filled with screaming children?" "Why not? We deflate it remotely, crawl through the valve, grab the loot, and vanish before the piñata drops." "What loot? They're eight-year-olds, Molly. The presents are Pokémon cards, cheap chocolate, gift cards and expired coupons." "Exactly! Completely untraceable! No serial numbers on a Pikachu plush! No security cameras in the ball pit!" "We're professionals. We hit banks, jewelry stores, that casino with the terrible buffet and that art gallery?" "—Terrible food, excellent security flaws," Molly interrupted. "And now you want to rob a child's birthday party? There's a moral line here, Molly. We're thieves, not monsters. What if they have security?" Molly grinned. "Think of it as community service. Robin Hood style redistribution from bourgeoisie toddlers to hardworking criminals like us." "You're quoting Marx at a children's party?" "I'm quoting opportunity! Imagine the chaos! Cake everywhere! Piñata trauma! We blend right in as entertainment!" "As what? The grim reaper?" "Party clown!" She held a wig. "Now suit up. Timmy's turning nine and I want that LEGO set."
created_at
"2026-10-07T09:10:00.899Z"
10/7/2026, 9:10:00 AM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2143
moderation_latency
(null)
generation_time
244244
tokens_prompt
75
tokens_completion
13645
native_tokens_prompt
67
native_tokens_completion
16385
native_tokens_completion_images
(null)
native_tokens_reasoning
13302
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
0.03429021
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791364200-tSgHH7Um6ktfwOlcmKVa"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791364200-XeL7kRDBDBBKI3PEb1ky"
upstream_id
"9d7cca1f9f18462f9a7bd9005e53e5ee"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"9d7cca1f9f18462f9a7bd9005e53e5ee"
is_byok
false
latency
2043
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.03429021
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
99.38%
Matches word count
n/a
neededClean
false
words
205
99.98%
Dialogue to Total Word Ratio
Ratio: 88.89%, Deviation: 1.11%
neededClean
false
wordsTotal
207
wordsDialogue
184
99.6809%