Run: 2026-09-02-01M1HGGKQEQT2DX21XEJWMAXJE

Run Details

Duration:
3m 58s
Cost:
$0.007893
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 200 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 studied the party invitation. "Presents, parents, perfect birthday heist." Bill slowly adjusted his gloves. "Molly, what about the cake?" Molly unfolded a napkin map. "Clown lets us steal gifts." Bill nervously squinted at it. "Those ducks look very suspicious." Molly whispered through the door. "Only giggles, no screaming, please." Bill nodded at gift bags. "These balloons make loot invisible." Molly tucked one unicorn hat. "This hat is a disguise." Bill wore it very proudly. "This unicorn screams cake loudly." Molly rolled the van slowly. "Hide behind the fluffy candy." Bill grabbed a giant duck. "The duck is our accomplice." Molly checked the balloon clock. "Three sharp, then we go." Bill mouthed the words loudly. "Sing loudly, steal very quietly." Molly counted the wrapped boxes. "I claim every single present." Bill licked a stolen lollipop. "All presents belong to us." Molly grabbed one gift bag. "In, grab, out, never cry." Bill practiced his sneaky walking. "Waddle like a tiny toddler." Molly grinned at the party. "Chaos protects all birthday thieves." Bill hid ducks behind cake. "Cake is our perfect excuse." Molly opened the van doors. "Showtime, bring shiny glitter ribbon." Bill whispered through glittery teeth. "Make it sparkle, little heist."
created_at"2026-09-02T16:51:30.581Z" 9/2/2026, 4:51:30 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4790
moderation_latency(null)
generation_time231139
tokens_prompt75
tokens_completion14701
native_tokens_prompt127
native_tokens_completion16754
native_tokens_completion_images(null)
native_tokens_reasoning16460
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)
usage0.00789343
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788367890-ALIMsNgGNNrmbz2HXSUZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788367890-UvgmJRgmWhe8yi4Q4w4r"
upstream_id"chatcmpl-cef00899-0615-9ac6-8dda-23a98b9e2165"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-cef00899-0615-9ac6-8dda-23a98b9e2165"
is_byokfalse
latency4777
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.00789343
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
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%