Run: 2026-10-20-01M5C68ZEXTW4BV40WQQXYPQBT

Run Details

Duration:
51.5s
Cost:
$0.004365
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.52% Dialogue to Total Word Ratio (details)
0.2576% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 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 adjusted the van’s mirror and watched tiny pirates and princesses funnel through a door decorated with balloon dinosaurs. A bouncy castle wheezed in the backyard. “Remind me why we’re robbing a six-year-old’s birthday party instead of a bank?” Bill lowered his binoculars. “Banks have guards, cameras, and consequences. Birthday parties have cake.” “They also have parents.” “Slow parents. Tired parents. Parents who’ve handed out juice boxes and lost the will to police anything.” Molly counted the gifts stacked beside the bouncy castle: three boxes, one gift bag, and something shaped suspiciously like a television. “And the entry?” Bill produced a limp clown suit from a duffel bag. “I go in as Mr. Wiggles. You’re my assistant, Mrs. Wiggles.” “I am not being Mrs. Wiggles.” “Then you can be the birthday magician.” “I don’t do magic.” “You made our landlord believe the rent was coming. That’s magic.” Molly rubbed her forehead and watched a father in a superhero cape stagger past with a giant gift box. “What about the birthday kid?” “We leave one present. A nice one. A book.” “A book?” “Books are educational. We’re not monsters.” “We’re stealing from a six-year-old.” “We’re redistributing joy. Efficiently.” Bill tapped the dashboard as a mother carried out a cake. “Simple plan. You trip over the clown. I grab the pile. We leave before the singing starts.” “That’s your plan?” “It worked at the wedding.” “We got banned from three counties.” “We got banned from three counties and kept the blender.” Molly pulled on gloves. “What if they sing?” “Then we sing too. Blend in. Happy birthday, tiny mark.” “You’re going to hell, Bill.” “Probably. But I’ll be early, and I’ll bring a gift bag.” The party had spread into the garden: a piñata shaped like a llama, a table of cupcakes, and a hired entertainer warming up a puppet. Molly noted two exits, one hedge, and a dog that looked suspiciously alert. “The dog’s a problem,” she said. Bill squinted. “That’s a golden retriever.” “That’s a witness.” “He’s wearing a party hat.” “Exactly. He’s undercover.” Molly watched the entertainer produce a rabbit from a hat. “We could use him. A real magician creates chaos.” “Or he creates witnesses,” Bill said. “Stick to the clown. Clowns are invisible at children’s parties.” “No one trusts a clown.” “Exactly. They’re too busy judging.” A child in a tutu pointed at the van. Molly ducked. “He’s pointing.” “He’s waving,” Bill said. “Waving is pointing with optimism.” “Then we’re doomed.” Molly stared at the clown suit, then at the pile of presents. “One present. We leave one present.” “The book.” “The book.” Bill grinned and started the van. “Mrs. Wiggles, let’s go ruin a childhood.”
created_at"2026-10-20T08:19:03.267Z" 10/20/2026, 8:19:03 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency125
moderation_latency(null)
generation_time51495
tokens_prompt75
tokens_completion8028
native_tokens_prompt67
native_tokens_completion8719
native_tokens_completion_images(null)
native_tokens_reasoning8021
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)
usage0.00436486
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484343-pPHp0jK5Kb8h3SpPLNeE"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484343-EEiWFItxZ5yR87735N6v"
upstream_id"gv2_xyjHjgCzUxjuzk4IqTczV"
provider_responses
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endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_xyjHjgCzUxjuzk4IqTczV"
is_byokfalse
latency125
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00436486
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
0.00% Matches word count n/a
neededCleanfalse
words449
0.52% Dialogue to Total Word Ratio
Ratio: 60.26%, Deviation: 10.26%
neededCleanfalse
wordsTotal453
wordsDialogue273
0.2576%