Run: 2026-10-07-01M4AVW900SZJR3A3Y98AGYVRZ

Run Details

Duration:
1m 5s
Cost:
$0.008084
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
87.5771% 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 adjusted her beanie and tapped the glittery card. "The Henderson kid's turning seven at the bounce house on Saturday." Bill checked his notes. "You sure he's got an Xbox? Or just dinosaur socks?" "Trust me, the invite mentioned a 'deluxe gaming station' and the registry screams 'electronics.' It's practically begging for us, Bill." "So we're disguising ourselves as... what? Clowns? Those balloon animal guys?" "Better. We're going as inflatable T-Rex costumes. Kids love dinosaurs, and the suits have massive pockets for a Nintendo Switch." Bill rubbed his chin. "And the security situation?" "Three underpaid teenage babysitters and a plastic slide that screams 'liability nightmare.' It's a bloodbath waiting to happen." "What about the cake situation? Do we take the cake?" "Red velvet with cream cheese frosting. I already checked the bakery order. We absolutely take the cake." "You're terrifying, Molly. This is a children's birthday party." "I prefer 'dedicated professional.' We grab the loot, use the bounce house for aerial cover, and disappear before the sugar rush hits at two." Bill nodded slowly. "Should we bring duffel bags? Or trash bags?" "Gucci totes. We're criminals, not savages. And maybe grab some balloons as decoys?" "This is either the greatest heist in history or serious child endangerment." "Why not both? Meet at noon?"
created_at"2026-10-07T09:42:25.284Z" 10/7/2026, 9:42:25 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3786
moderation_latency(null)
generation_time64738
tokens_prompt75
tokens_completion3745
native_tokens_prompt67
native_tokens_completion3846
native_tokens_completion_images(null)
native_tokens_reasoning3402
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"
usage0.0080837
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791366145-elYBVgUvVSVih90IavoL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791366145-fwlAlreJ9pL6XCEvSwCo"
upstream_id"5914654be37249bfa08bb16b7af91a65"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"5914654be37249bfa08bb16b7af91a65"
is_byokfalse
latency607
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.0080837
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
75.16% Matches word count n/a
neededCleanfalse
words213
100.00% Dialogue to Total Word Ratio
Ratio: 90.61%, Deviation: 0.61%
neededCleanfalse
wordsTotal213
wordsDialogue193
87.5771%