Run: 2026-09-03-01M1KYX84HRP9B7XMXWRKV3853

Run Details

Duration:
3m 50s
Cost:
$0.037092
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.59% Dialogue to Total Word Ratio (details)
99.7932% 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 crouched behind a papier-mâché dinosaur. “Bill, the presents are under the castle,” Molly whispered. “I see twelve boxes and a sweating juice box,” Bill said. “Perfect. We take every present, every ribbon, every cookie, even the one shaped like a dinosaur.” “Even the dinosaur?” “Especially the dinosaur. It has emotional range.” “Do we take the balloons?” “Only if they contain gift cards.” “Gift cards are gold, baby.” “Baby is a crime scene.” “Noted. We leave the piñata.” “It has teeth?” “It has dignity.” “We steal dignity too?” “Everything has value.” “What about the clown?” “He’s a decoy.” “Decoys are useful.” “Useful and smelly.” “We bag the juice box.” “It might be evidence.” “Evidence of sweetness.” “Exactly.” “If the cake has candles, we smother them quietly.” “Like a professional?” “Like professionals.” “Perfect. Super, super perfect.” “Do we take the cupcake towers?” “Only the frosting.” “Frosting is currency.” “Then we are rich.” “What about the goodie bags?” “They are already bags.” “We empty them.” “Quietly.” “Very quietly.” “Go?” “Now.” “Two minutes. Get the bag.” “I brought a whoopee cushion for the babysitter.” “Why?” “In case she asks too many questions.” “Genius.” “On three?” “One.” “Two.” “Three.” “Run.” Bill ran.
created_at"2026-09-03T15:41:27.905Z" 9/3/2026, 3:41:27 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency730
moderation_latency(null)
generation_time229191
tokens_prompt75
tokens_completion11200
native_tokens_prompt114
native_tokens_completion14527
native_tokens_completion_images(null)
native_tokens_reasoning14187
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)
usage0.0370923
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788450087-zukMCyo43TCPI8HrBRTI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788450087-Vi5rZHgpnCF7DAc7hF9X"
upstream_id"chatcmpl-9505d7fe-a73a-9de1-90b0-1187980a77f4"
provider_responses
0
endpoint_id"255a02bd-df93-4ea7-bda9-44d4373aae18"
id"chatcmpl-9505d7fe-a73a-9de1-90b0-1187980a77f4"
is_byokfalse
latency730
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Alibaba"
status200
total_cost0.0370923
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
99.59% Dialogue to Total Word Ratio
Ratio: 92.54%, Deviation: 2.54%
neededCleanfalse
wordsTotal201
wordsDialogue186
99.7932%