Run: 2026-09-02-01M1HA00VGFK8W9HBW8ZZ48KHD

Run Details

Duration:
3m 28s
Cost:
$0.059324
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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 spread the crayon blueprint across the van dashboard slowly. "Tonight we steal every present before one child finishes cake." Bill polished his fake mustache and checked the cupcake detonator. "Clowns always scream first so we gag them with balloons." Molly pointed at the backyard fence drawn in purple glitter. "We enter through the puppet theater during the magic show." Bill nodded while squeezing a rubber duck for moral support. "Ducks make fine lookouts because they quack at everyone nearby." Molly tucked a roll of wrapping paper into her belt. "If parents wake we gift wrap them and run fast." Bill practiced tiptoeing around sacks labeled candy not evidence yet. "Every present gets scanned for traps glitter or angry hamsters." Molly drew red circles around three sleeping puppies near presents. "Puppies are witnesses so bribe them with birthday sausage slices." Bill lifted a tiny party hat onto his serious head. "Disguises work best when nobody suspects a grown toddler nearby." Molly checked the list of gifts written in crayon first. "The piñata is a distraction not a loot container Bill." Bill winced because the piñata had once judged him harshly. "We leave the donkey but take its candy testimony too." Molly opened a duffel bag printed with smiling cartoon dinosaurs. "Fill every dinosaur with boxes then blame the magician quickly." Bill tested a net made from recycled streamers and socks. "If kids notice us we become the piñata doctors again." Molly rehearsed a whistle that sounded like an angry kettle. "When I whistle grab the train set and run away." Bill adjusted goggles made from cheap sunglasses and bottle caps. "Night vision helps when children hide vegetables under tables everywhere." Molly counted juice boxes as possible bribery and escape fuel. "Two sips maximum or we crash before the getaway starts." Bill folded a map into the shape of a swan. "Swans know parties because they guard ponds near balloons too." Molly sewed extra pockets into her apron for small toys. "Tiny cars are currency so never drop the wheels off." Bill whispered into a toy walkie talkie with static softly. "Radio silence unless someone mentions pudding or police officers nearby." Molly imagined headlines about the great birthday present banditry tomorrow. "Fame is fine but prison ruins my afternoon nap schedule." Bill packed a ladder disguised as a giant spoon carefully. "Spoons are innocent and nobody arrests breakfast utensils very often." Molly glued googly eyes onto the garden gnome surveillance unit. "The gnome sees everything but tells nobody anything useful ever." Bill rehearsed crying in case adults demanded an explanation later. "Tears confuse parents and parents fear public embarrassment very much." Molly placed the final sticker on their ridiculous party pass. "We are entertainers until the entertainers ask questions awkwardly today." Bill revved the engine of a borrowed ice cream cart. "Escape vehicle chosen because hungry children chase dessert automatically nearby." Molly grinned as balloons lifted the first bag skyward slowly. "Next year we rob the Easter Bunny while he naps."
created_at"2026-09-02T14:57:28.951Z" 9/2/2026, 2:57:28 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1435
moderation_latency(null)
generation_time208198
tokens_prompt75
tokens_completion9344
native_tokens_prompt127
native_tokens_completion9845
native_tokens_completion_images(null)
native_tokens_reasoning9215
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)
usage0.059324
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788361048-TVbM4ucfmBWctrwQEeYH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788361048-7rMvnDb4kziEQHzUc1ss"
upstream_id"chatcmpl-55acd47c-6f6a-9c3e-9c83-101f6c5fe1c4"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-55acd47c-6f6a-9c3e-9c83-101f6c5fe1c4"
is_byokfalse
latency1435
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0.059324
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
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
words500
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue250
100.0000%