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Run: 2026-09-02-01M1HB6ZQDCH97MQH8HWE76MNZ
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
1m 45s
Cost:
$0.030104
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 the crayon map across the van floor, drawing a purple X over the bounce house. Bill polished his fake moustache, which he insisted made him invisible near balloon arches. The target was Timmy’s seventh birthday party, a fortress of frosting, paper crowns, and suspiciously alert grandmothers. Molly tapped the schedule. Cake at three. Magic show at four. Presents unattended during piñata chaos. Bill nodded, rehearsing his disguise as a confused magician. He had pockets full of candy, emergency streamers, and one tiny ladder nobody remembered stealing. Their plan involved three rules. No eating evidence. No joining musical statues. No letting Bill juggle, ever. Molly would distract parents with a clipboard and urgent clipboard energy. Bill would slip into the gift corner, bag the shiny boxes, and escape through the paddling pool if needed. Molly whispered, “We will strike during cake, before the piñata screams begin.” Bill replied, “Bring bigger bags, quieter shoes, and absolutely no more moustaches.” She rolled her eyes, because tomorrow’s newspaper headline already seemed ridiculous: local party plundered, only crumbs, one sad trombone, and a suspicious goat left behind. Still, presents would not steal themselves, and Molly had already packed cake insurance for birthday emergencies.
created_at
"2026-09-02T15:18:45.748Z"
9/2/2026, 3:18:45 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1601
moderation_latency
(null)
generation_time
104499
tokens_prompt
75
tokens_completion
4123
native_tokens_prompt
127
native_tokens_completion
4975
native_tokens_completion_images
(null)
native_tokens_reasoning
4696
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
0.030104
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788362325-jrlXivGDKUYjBheHhKdu"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788362325-5WNUmmNnQyhd4s78wXpi"
upstream_id
"chatcmpl-c29a6825-8737-9ba9-92e8-3865319de89b"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-c29a6825-8737-9ba9-92e8-3865319de89b"
is_byok
false
latency
1601
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.030104
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%