Run: 2026-10-20-01M5C6MMT5FDFAY6A4WP5QNT0M

Run Details

Duration:
24.4s
Cost:
$0.002117
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
72.27% Dialogue to Total Word Ratio (details)
86.1350% 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 tapped the crayon map. "Okay, Bill, the clown’s distraction lasts four minutes. You grab the presents; I handle the cake table." "Four minutes? Molly, last time you said four minutes, I spent three of them stuck in a ball pit." "That ball pit was not on the blueprint." "It was shaped like a dinosaur, Molly. There were warning signs." "Fine. New plan: you go in as the magician’s assistant. No one questions a man in a rabbit suit." "I’m not wearing the rabbit suit. The ears squeak." "The squeaking is tactical. It covers the alarm." "What alarm? It’s a birthday party for a six-year-old." "Exactly. Six-year-olds have ruthless security. Party bags, Bill. Party bags." "Okay, but we only take the good presents. No socks." "Obviously. We’re professionals, not monsters." "What about the birthday boy?" "He gets a decoy gift. A lovely card. Signed from the clown." "The clown is our getaway driver." "See? Synergy." "And if a kid asks for a balloon animal?" "You make a sword. Kids love swords." "Can we avoid felonies involving balloon swords?" "Bill, focus. Presents first, moral crisis later." "Fine. But if I hear Happy Birthday sung one more time, I’m keeping the cake."
created_at"2026-10-20T08:25:25.579Z" 10/20/2026, 8:25:25 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency175
moderation_latency(null)
generation_time24418
tokens_prompt75
tokens_completion4087
native_tokens_prompt67
native_tokens_completion4224
native_tokens_completion_images(null)
native_tokens_reasoning3934
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(null)
usage0.00211736
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484725-ECQD8UqYYEjfEDXV7f1y"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484725-2h1zRbbd8w3YcvTyj3cI"
upstream_id"gv2_v27I9a0s8fB9JyjgjHbLW"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_v27I9a0s8fB9JyjgjHbLW"
is_byokfalse
latency175
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00211736
cache_discount(null)
upstream_inference_cost0
provider_name"InferenceNet"
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
72.27% Dialogue to Total Word Ratio
Ratio: 97.55%, Deviation: 7.55%
neededCleanfalse
wordsTotal204
wordsDialogue199
86.1350%