Run: 2026-10-07-01M4ATN1JNSHCVY6DN782J9BY3

Run Details

Duration:
1m 54s
Cost:
$0.020442
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.77% Dialogue to Total Word Ratio (details)
99.8840% 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
Molly unfolded the invite. "Okay, so the Johnson kid turns seven at Chuck E. Cheese, Saturday at three. Prime time." Bill adjusted his mask. "Three? That's daylight, Molly. We're professionals." "Professionals who need Xbox games," she said. "Think about it—pin the tail on the donkey, cake, then bam, we hit the gift table while everyone's sugar-crazed." "Are we disguising ourselves as clowns? That's really terrifying." "We wear party hats. Low profile. When they sing Happy Birthday, we count to twenty, then bolt with the loot bags." "What if the kids notice we're adults?" "They'll be distracted by the pizza. I've seen the catering order. It's deep dish. Takes forty minutes to chew one slice." Bill scratched his chin. "You want to rob a seven-year-old's party? That's morally bankrupt." "I want a PS5. You want a PS5. Little Timmy gets his Spider-Man figurine back next Christmas. It's called redistribution of wealth." "That's not—" "We hide in the ball pit until closing. Nobody checks the ball pit. It's a law of physics." Bill sighed. "Fine. But if a kid asks for my autograph, I'm punching him now." "Deal. And Bill? Don't eat the tickets. We need those for the skee-ball payout."
created_at"2026-10-07T09:20:59.483Z" 10/7/2026, 9:20:59 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency644
moderation_latency(null)
generation_time113954
tokens_prompt75
tokens_completion7384
native_tokens_prompt67
native_tokens_completion9759
native_tokens_completion_images(null)
native_tokens_reasoning7075
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"
usage0.02044187
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791364859-2FJAnbf8MnL2GWRhmtz0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791364859-NZtnEq2T3edNHGGxzHNh"
upstream_id"1efa8b85c0c94a9e8a815c9325866043"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"1efa8b85c0c94a9e8a815c9325866043"
is_byokfalse
latency622
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.02044187
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
100.00% Matches word count n/a
neededCleanfalse
words200
99.77% Dialogue to Total Word Ratio
Ratio: 92.20%, Deviation: 2.20%
neededCleanfalse
wordsTotal205
wordsDialogue189
99.8840%