Run: 2026-09-02-01M1HHAJHH7KAH5FHJABC7NYGK

Run Details

Duration:
1m 36s
Cost:
$0.003565
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9993% 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 and Bill planned to raid a party for kids, stealing presents while nearby adults laughed too loudly after sunset tonight. "The clown car can hide our loot, the cake can serve as distraction tonight if we are lucky and clever." "Bill, I can disguise myself as a giant purple llama and carry every box away myself without any squeaky mistake." "No squeaky mistakes. The parents will think the llama has a gift for hoarding glitter before cake time and juice." "Molly, when they open the pinata, we will slip behind the banner and start the heist with style and silence." "Can we steal the stuffed horse too? It has four legs and excellent gift capacity if nobody notices or complains." "Only if the horse becomes a getaway mount. We ride away as birthday villains in sequined pajamas and tiny helmets." "Sequined pajamas are too loud. A cape made of wrapped gifts will make us invisible, smelling frosting and danger too." "Bill, do the presents include toys or just embarrassing socks for confused relatives? We cannot risk stealing boring fabric today." "Every present is valuable, especially if the card says money. We are romantic villains who steal cake and ribbons too."
created_at"2026-09-02T17:05:34.777Z" 9/2/2026, 5:05:34 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3785
moderation_latency(null)
generation_time95702
tokens_prompt75
tokens_completion6880
native_tokens_prompt127
native_tokens_completion7544
native_tokens_completion_images(null)
native_tokens_reasoning7294
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)
usage0.00356473
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788368734-ApiVjgbSNptrOYBetH9o"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788368734-hGsWSXDAAZFrG52Kmu97"
upstream_id"chatcmpl-b9e247d1-2ac4-96c5-9bc9-cfe48b1b23d2"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-b9e247d1-2ac4-96c5-9bc9-cfe48b1b23d2"
is_byokfalse
latency3785
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.00356473
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
words201
100.00% Dialogue to Total Word Ratio
Ratio: 89.55%, Deviation: 0.45%
neededCleanfalse
wordsTotal201
wordsDialogue180
99.9993%