Run: 2026-10-07-01M4AT0YDXW1E87EKCXZQKSH3D

Run Details

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

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_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2143
moderation_latency(null)
generation_time244244
tokens_prompt75
tokens_completion13645
native_tokens_prompt67
native_tokens_completion16385
native_tokens_completion_images(null)
native_tokens_reasoning13302
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier"default"
usage0.03429021
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
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endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"9d7cca1f9f18462f9a7bd9005e53e5ee"
is_byokfalse
latency2043
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.03429021
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words205
99.98% Dialogue to Total Word Ratio
Ratio: 88.89%, Deviation: 1.11%
neededCleanfalse
wordsTotal207
wordsDialogue184
99.6809%