Run: 2026-10-20-01M5C6PCCPDD381T6SR22KHWA8

Run Details

Duration:
12.9s
Cost:
$0.000861
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
68.26% Dialogue to Total Word Ratio (details)
71.7074% 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
"Okay, Bill, the clown gets the kids to the piñata at two, so we’ve got six minutes." "That’s four minutes to snatch the presents and two to argue about who took the unicorn," Bill said. "I’m not arguing. I’m establishing custody." "Fine. You take the wrapped boxes, I’ll take the gift bags." "Why do you get gift bags?" "Because they’re lighter, and you owe me for the hamster incident." "We agreed never to mention the hamster." "Then stop making sense. The back door’s by the cake table?" "Yes, but the birthday kid’s mom guards it like a dragon with a clipboard." "So we go through the bouncy castle." "It’s inflatable, Bill." "Exactly. No one suspects a tactical bounce." "Roll call: masks, sacks, distraction?" "I brought a kazoo." "A kazoo?" "It’s terrifying in the right hands." "Your hands aren’t right. Give it here." "Careful, Molly. That’s our retirement plan." "No, that’s a plastic horn. The retirement plan is the princess castle box." "Then let’s go steal childhood joy." "Also, if a toddler asks what we’re doing, we’re magicians." "Bad magicians." "Method actors." "Finally, a noble cause," Molly said.
created_at"2026-10-20T08:26:22.491Z" 10/20/2026, 8:26:22 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency169
moderation_latency(null)
generation_time12852
tokens_prompt75
tokens_completion1650
native_tokens_prompt67
native_tokens_completion1711
native_tokens_completion_images(null)
native_tokens_reasoning1415
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)
usage0.00086086
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484782-kWc3MCSzhWEn3O6cTTfQ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484782-NM5lMjD139YfL1vtYbxX"
upstream_id"gv2_oEoOpSdZehPKmUf7KXP0V"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_oEoOpSdZehPKmUf7KXP0V"
is_byokfalse
latency169
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00086086
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
75.16% Matches word count n/a
neededCleanfalse
words187
68.26% Dialogue to Total Word Ratio
Ratio: 97.86%, Deviation: 7.86%
neededCleanfalse
wordsTotal187
wordsDialogue183
71.7074%