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Run: 2026-09-02-01M1H9NVR472H60N2BEMD6NXDQ
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
6m 21s
Cost:
$0.120758
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 70% 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 spread the crayon map across the van floor. "The bouncy castle blocks the kitchen door, so we enter through the clown entrance." Bill blinked. "There is a clown entrance?" Molly said, "Every respectable party has one. It is beside the balloon arch, guarded by a piñata." Bill tapped his pencil. "I hate piñatas. They swing." Molly said, "Then do not swing back. We are professionals." He sighed. "What is the target?" Molly counted on her gloved fingers. "All presents. Every sock, toy, and suspiciously shaped lollipop." Molly said, "We arrive as entertainment. You are the magician." Bill said, "I am not a magician." Molly said, "You own a rabbit." Bill said, "That is a hamster named Kevin." Molly said, "Kevin is now a magical assistant. I am the face painter." Bill grinned. "You cannot paint faces." Molly said, "I can paint one face. Repeatedly." Molly slid a timetable forward. "Cake happens at two. Sugar chaos begins at two fifteen. We move at two sixteen." Bill studied the list. "What if the birthday child cries?" Molly said, "Give him a coupon for future theft." Bill said, "That is not child friendly." Molly said, "It is future friendly." Bill nodded. "What about the parents?" Molly said, "They will be distracted by tiny chairs and forced gratitude." Bill said, "And the clown?" Molly said, "The real clown arrives at three. By then we vanish." Molly rolled the map. "You distract them with balloons. I bag the gifts." Bill smiled. "I shall squeak them." Molly said, "Squeak with purpose." Bill said, "Molly, this may be our finest crime." Molly said, "Do not jinx it. Last time you jinxed a heist, we stole a birthday cake." Bill said, "It was delicious." Molly said, "It was evidence." Bill straightened his tiny hat. "For the children?" Molly said, "For the presents." Molly checked her watch. "The pony arrives at two thirty. We borrow its hat." Bill gasped. "We are stealing from a pony?" Molly said, "We are borrowing dignity. The pony has too much." Bill wrote this down. "What if the pony resists?" Molly said, "Offer it cake. Ponies love cake." Molly packed a glitter cannon. "If cornered, deploy sparkle." Bill pointed at the cannon. "Is that safe?" Molly said, "It is distracting. Children fear shine." Bill tucked in his sock. "What if someone asks for a balloon animal?" Molly said, "You make a straight thing and call it a worm." Bill said, "That is insulting to worms." Molly said, "We are thieves, not zoologists." Molly tied a fake moustache to a balloon. Bill polished his squeaky hammer. Outside, a child shrieked like a tiny alarm. Molly smirked. Bill gulped loudly. "Do we knock?" "No. We glide." "How do we glide?" "With confidence and stolen socks." "My socks are clean." "Then we fail. We need criminal socks." "Fine. I will wear two pairs." "Excellent. This party is already ours." "Molly, I feel fancy." "Fancy is our disguise." "Socks are deadly, Molly." "To the presents, dear Bill."
created_at
"2026-09-02T14:51:56.044Z"
9/2/2026, 2:51:56 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
903
moderation_latency
(null)
generation_time
381280
tokens_prompt
75
tokens_completion
15720
native_tokens_prompt
127
native_tokens_completion
20084
native_tokens_completion_images
(null)
native_tokens_reasoning
19274
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
0.120758
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788360716-e2ct5x63DMnPJuFkLfo9"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788360716-THc0R6X6D9HJqKcnunE8"
upstream_id
"chatcmpl-f89e5923-cb16-9ab4-9b42-c5a875ca0e2e"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-f89e5923-cb16-9ab4-9b42-c5a875ca0e2e"
is_byok
false
latency
903
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.120758
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: 70.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
350
100.0000%