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Run: 2026-09-02-01M1HC47FP0QFVSEFYMXZHJXG6
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
2m 4s
Cost:
$0.031904
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 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 unfolded the crayon map beside the rusty white van. "The bouncy castle distracts every child at two sharp tomorrow." Bill adjusted his clown wig and winked at his reflection. "I bring extra sacks disguised as laundry from my aunt." She tapped the frosting sketch with one gloved yellow finger. "Do not touch the cake unless I signal with whistling." He gulped, remembering the birthday clown had very sharp elbows. "What if the magician notices us sneaking behind the presents?" Molly grinned, showing a chipped tooth from the previous job. "You compliment his rabbits until I open the garden gate." Bill polished his tiny harmonica while pretending to admire balloons. "These children have too many gifts for one tiny party." She straightened her party hat, entirely too serious for crime. "We redistribute joy, not steal, remember our very noble plan." He practiced a chuckle that sounded like nervous garden gnomes. "I already rehearsed my jolly laugh for all distracted parents." Molly snatched the cigar from his lips and crushed it. "Keep the balloons away from your cigar, you walking disaster." Bill grabbed the wagon handle, eyes glittering with greedy mischief. "Tonight, every present rides home in our spectacular stolen wagon."
created_at
"2026-09-02T15:34:43.968Z"
9/2/2026, 3:34:43 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1004
moderation_latency
(null)
generation_time
124000
tokens_prompt
75
tokens_completion
4660
native_tokens_prompt
127
native_tokens_completion
5275
native_tokens_completion_images
(null)
native_tokens_reasoning
5014
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
0.031904
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788363283-AuA10EeeJGa9bFxiYvVp"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788363283-TlQt8IkowfvnB5ujlxY4"
upstream_id
"chatcmpl-7aa4350d-f65c-99eb-9dd8-57969d455232"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-7aa4350d-f65c-99eb-9dd8-57969d455232"
is_byok
false
latency
1004
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.031904
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%