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Run: 2026-09-02-01M1HGPQP099A4JQRM2PSA4ES5
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
2m 30s
Cost:
$0.007090
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
Messages
Meta
AI
Molly taped a crayon map to the sunny fridge door. "The party is perfect for a quiet gift theft today." Bill adjusted his red bow tie and checked the window. "Party thieves should look trustworthy, calm, and completely adorable tonight." Molly pulled a tiny glitter backpack from behind the counter. "We need bags, snacks, and absolutely zero child detection devices." Bill wrote devices in his sparkly notebook with purple ink. "I can create a decoy with glitter, balloons, and cake." Molly frowned while measuring the gift pile across the room. "Cake makes crumbs. Crumbs make witnesses. Witnesses make serious prison." Bill nodded solemnly and tucked his purple pen away carefully. "What if we steal the presents before the children arrive?" Molly pointed at the nap time glowing brightly like treasure. "Nap time means sleepy guardians and quiet, stealable gift tables." Bill clapped once, nearly knocked over a juice box tower. "I have practiced napping in libraries, buses, and dentist chairs." Molly gave him a look that meant do not brag. "We need silence, speed, and a plan for the mother." Bill gasped and opened his notebook, glitter filling the air. "The mother is the final boss of birthday party security." Molly agreed while packing marbles, chickens, and one spare ribbon. "Marbles trip guards, chickens distract kids, ribbons look festive too." Bill scribbled too below and underlined mother three times again. "Should we call ourselves Santa Sneakers or Present Pirate Crew?" Molly selected Present Pirate Crew after one serious debate today. "Present Pirate Crew sounds professional, festive, and mildly concerning today." Bill practiced a pirate bow, knocking his bow tie sideways. "Arrr, hand over glitter toys before I deploy cake crumbs." Molly covered his mouth and then pointed through the glass. "Listen, the parents are approaching with juice boxes and questions." Bill panicked quietly and hid behind one glitter streamer curtain. "Do parents suspect us when we whisper about stolen gifts?" Molly rolled her eyes and held up one tiny key. "I copied the side door key from a crayon drawing." Bill looked impressed despite the obvious problem with that plan. "Crayons cannot copy metal keys, Molly, unless this is magic." Molly winked and proudly showed him a secret crayon heel. "It is not a crayon, it is a master key." Bill accepted this because Bill believed anything said with confidence. "I am ready to nap, sneak, and pirate the gifts." Molly opened the window, and the party filled the room. "Do you smell that? Sugar, plastic, and unlimited theft potential." Bill inhaled deeply like a connoisseur, then sneezed loudly again. "The cake aroma is attacking my criminal focus severely tonight." Molly dragged a tiny wagon toward the back fence today. "We ride in on the wagon, steal everything, then exit." Bill loaded a balloon, a rubber chicken, and his dignity. "If they ask, we are here to entertain, then vanish." Molly smiled, because this was the worst possible good idea. "Present Pirate Crew, charge quietly toward the birthday loot now."
created_at
"2026-09-02T16:55:11.902Z"
9/2/2026, 4:55:11 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
675
moderation_latency
(null)
generation_time
122603
tokens_prompt
75
tokens_completion
14330
native_tokens_prompt
127
native_tokens_completion
15044
native_tokens_completion_images
(null)
native_tokens_reasoning
14394
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.00708973
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788368111-RnOyF6de6oGp2L93PNmJ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788368111-bOD6CgmW2drl0VsLDNyL"
upstream_id
"chatcmpl-9ff4ea80-26c8-9d01-9302-5a5f2d168a37"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-9ff4ea80-26c8-9d01-9302-5a5f2d168a37"
is_byok
false
latency
675
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00708973
cache_discount
(null)
upstream_inference_cost
0
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
neededClean
false
words
500
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
250
100.0000%