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Run: 2026-09-02-01M1HB7GBVEHDKHBKYZ6TVV0PB
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
2m 35s
Cost:
$0.042272
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
50.0000%
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
The bouncy castle is the vault, Molly whispered, unfolding a crayon map. We enter through the slide, neutralize the cake, and bag every present before naptime. Bill adjusted a tiny party hat. Neutralize the cake how? With spoons. Brilliant. But the birthday kid has a dragon pinata. A cardboard witness. Ignore it. They crouched behind a hedge of paper streamers, watching children conga. I hate children, Bill said. You are one. Exactly. I know their tactics. Sticky hands. Sonic screams. They will defend those gifts like tiny lawyers. Molly checked her glitter cannon. We distract them with the magician. The magician is late. Then we become the magician. Bill pulled a rabbit from his duffel. The rabbit looked unionized. Fine, he said. I vanish presents. You juggle ethics. Ethics are at another party. They slipped toward the gift table as music began. A child pointed. Bill bowed. Molly threw confetti like a smoke grenade. The presents vanished into sacks stitched from circus curtains. Somewhere, a parent applauded, assuming the grand theft was an elaborate magic act booked by somebody probably richer louder and significantly less responsible. See? Molly laughed. Children love a show. Bill sighed. They clap for our crime.
created_at
"2026-09-02T15:19:02.789Z"
9/2/2026, 3:19:02 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
952
moderation_latency
(null)
generation_time
154870
tokens_prompt
75
tokens_completion
6192
native_tokens_prompt
127
native_tokens_completion
7003
native_tokens_completion_images
(null)
native_tokens_reasoning
6714
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
0.042272
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788362342-PXeWVLhwOKZiltddh4Ap"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788362342-p5XIbWo3enbStGgMVOfg"
upstream_id
"chatcmpl-056f1aea-5549-972e-a9ae-9ab9f394fb76"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-056f1aea-5549-972e-a9ae-9ab9f394fb76"
is_byok
false
latency
952
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.042272
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
0.00%
Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 50.00%
neededClean
false
wordsTotal
200
wordsDialogue
0
50.0000%