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Run: 2026-09-02-01M1H99NM95J9A8GATZE62ZRK6
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
2m 51s
Cost:
$0.050522
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 10% 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 a crayon map across the dashboard of an ice cream van. Bill wore a clown suit covered in secret pockets and old stains. Their target was a birthday garden packed with balloons, gifts, and screaming children. Molly had forged invitations and a magician license drawn in purple crayon. Bill had acquired a puppet, a foghorn, and a goat with questionable loyalty. The party would begin at two. The presents would be stacked beside a paper castle. They planned to enter as performers, distract parents, replace gifts with boxed vegetables, and flee before the piƱata exploded. A small girl named Poppy was their greatest danger because she owned binoculars and distrust. Molly circled the bouncy slide. Bill checked his enormous shoes. They needed perfect timing, false mustaches, and enough cupcakes to cause confusion. Molly rehearsed her disguise as a cupcake inspector. Bill practiced producing doves but only produced receipts. The goat ate the exit plan twice. Molly redrew it with lipstick on a napkin before snack time. Molly tapped the map. "We arrive before the cake." Bill adjusted his nose. "I brought seventeen tiny ladders." Molly frowned. "Poppy guards the presents today." Bill smiled. "Bring more candy for bribery."
created_at
"2026-09-02T14:45:16.565Z"
9/2/2026, 2:45:16 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1100
moderation_latency
(null)
generation_time
170787
tokens_prompt
75
tokens_completion
6969
native_tokens_prompt
127
native_tokens_completion
8378
native_tokens_completion_images
(null)
native_tokens_reasoning
8120
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
0.050522
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788360316-t08uPQK74QQx29TBjaw0"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788360316-RuTqdnIT9tE5zwwQi8uJ"
upstream_id
"chatcmpl-b962d5c0-b1ac-9714-91a7-6b745fe9bdbc"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-b962d5c0-b1ac-9714-91a7-6b745fe9bdbc"
is_byok
false
latency
1095
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.050522
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%