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Run: 2026-09-02-01M1HBT50BT9WF6KSB0MN2T3GH
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
5m 13s
Cost:
$0.081344
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 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
Messages
Meta
AI
Molly unfolded the crayon map beside the party bouncy castle. “Bill, we enter during the puppet show, not musical chairs.” “Molly, puppets terrify me. They always know about our crimes.” “Wear a puppet, then. The children will trust you completely.” “And if they request balloons, Molly, I shall scream quietly.” “Screaming is for clowns, Bill. We are refined gift burglars.” “Refined burglars do not often hide inside bouncy castles, Molly.” “This castle hides us perfectly, Bill. Children fear inflatable furniture.” Bill adjusted his party hat and practiced innocent birthday smiles. “What about the cake? Cake deserves rescue too, dear Molly.” “We steal presents, not cake, Bill. Focus on shiny boxes.” “Shiny boxes sometimes contain cupcakes, Molly. This changes absolutely everything.” “If cupcakes appear, we improvise. Bring napkins and small bags.” “I brought a magician costume, Molly. Children love incompetent rabbits.” “You are not a magician, Bill. You ate the rabbits.” “That was research, Molly. Thieves must understand appetite and wonder.” “When candles glow, we grab all the presents, vanish politely.” “Politely? We are criminals, Molly, but manners remain our weakness.” “We leave before piñata justice arrives, Molly. I fear candy.” “Exactly, Bill. Now rehearse your birthday grin and empty sack.”
created_at
"2026-09-02T15:29:13.747Z"
9/2/2026, 3:29:13 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
816
moderation_latency
(null)
generation_time
312665
tokens_prompt
75
tokens_completion
11719
native_tokens_prompt
127
native_tokens_completion
13515
native_tokens_completion_images
(null)
native_tokens_reasoning
13205
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
0.081344
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788362953-0MP01ObxC4E15JGOUSmv"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788362953-XDdPEWMWbxA5XUE5CZyR"
upstream_id
"chatcmpl-7dfb271b-2e52-9d28-ac68-8e224ae540d5"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-7dfb271b-2e52-9d28-ac68-8e224ae540d5"
is_byok
false
latency
816
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.081344
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%