Run: 2026-10-07-01M4ATZHRSWFF033XGXQWXMA8H

Run Details

Duration:
1m 52s
Cost:
$0.020128
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
95.82% Dialogue to Total Word Ratio (details)
97.7827% 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

AI
Molly spread the crayon-drawn map across the kitchen table, her finger tracing the glitter-sprinkled path to the bounce house. "The vault," she whispered, tapping a drawing of a princess castle cake. "Eight-year-old Timmy's birthday. Unsecured gift table by the jungle gym at three." Bill adjusted his ski mask, which kept sliding over his eyes and smelled like old gym socks. "We're robbing a kid's party?" "It's not robbing," Molly said, pouring the burnt coffee. "It's redistributing joy assets. Completely tax-free." "You want to steal presents from actual children?" "I want to steal presents *from* children," Bill corrected, leaning closer. "No, we steal *for* the children. These kids have too much stuff. Plastic dinosaurs. Lego sets. One of them probably has a pony. We're doing community service." Bill scratched his beard, studying the glitter trail and tapping the paper nervously. "What's our cover story?" "Clown noses. I bought the squeaky kind. We distract them with balloon animals while we bag the loot in baskets." "And if they catch us?" Molly grinned, revealing a chocolate frosting smear on her cheek. "Then we do magic tricks. I'm learning card tricks. Watch." She pulled a playing card from her sleeve, but it was a juice box. "Close enough."
created_at"2026-10-07T09:26:43.744Z" 10/7/2026, 9:26:43 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency594
moderation_latency(null)
generation_time112087
tokens_prompt75
tokens_completion8804
native_tokens_prompt67
native_tokens_completion9609
native_tokens_completion_images(null)
native_tokens_reasoning8480
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"
usage0.02012837
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791365203-LlS9p7GTHRgZruA4V7FN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791365203-NELbs1J5GSRL3cDZCOK9"
upstream_id"aa4719eb32a44d38a88b91f2c0eef7a2"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"aa4719eb32a44d38a88b91f2c0eef7a2"
is_byokfalse
latency572
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.02012837
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
99.74% Matches word count n/a
neededCleanfalse
words204
95.82% Dialogue to Total Word Ratio
Ratio: 54.55%, Deviation: 4.55%
neededCleanfalse
wordsTotal209
wordsDialogue114
97.7827%