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Run: 2026-04-27-01KQ733CM9AS499J4YPTG5S3NK
Run Details
Model:
Qwen 3.6 35B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
49.4s
Cost:
$0.007444
Provider:
AtlasCloud
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.99%
Dialogue to Total Word Ratio
(details)
99.9952%
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 adjusted her greasepaint, checking her reflection while Bill duct-taped a trash bag to his back. The minivan idled, shaking softly against the curb of the suburban sanctuary. Bill adjusted his goggles, which were slightly crooked and stolen from a construction site. He checked his watch, then the trash bag, then his watch again. "I'm not vibrating. I'm powered by caffeine and the lust for Legos. Is the piƱata loaded with gift cards?" "Definitely. But the parents are eating cake. They are unconscious." "You look like a clown who stole my pants. Did you bring the noise-canceling headphones for the screaming?" "To muffle the screaming when we drag away the vintage castle! Remember, no hugging. Hugging triggers the motion sensors you glued to the balloon arch." "Since I bought them on eBay. Now, on three. We dive, grab the goods, and vanish before the ice cream is served." Molly sharpened her plastic spork. Her knuckles turned white as she gripped the utensil, ready to dismantle a toddler's empire with ruthless efficiency. "Worth it. One. Two..." A loud *POP* echoed. Molly kicked the door, sending Bill tumbling into the birthday chaos as confetti cannons misfired, blanketing them in glitter and regret.
created_at
"2026-04-27T09:07:36.721Z"
4/27/2026, 9:07:36 AM
model
"qwen/qwen3.6-35b-a3b-20260415"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
817
moderation_latency
(null)
generation_time
49260
tokens_prompt
77
tokens_completion
6894
native_tokens_prompt
76
native_tokens_completion
7699
native_tokens_completion_images
(null)
native_tokens_reasoning
7412
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"
usage
0.00744371
router
(null)
provider_responses
0
endpoint_id
"179c6985-3a1c-48f1-a009-9f3e3e402cdd"
id
"507720c567c44b61b8ceafd8b0dffecd"
is_byok
false
latency
817
model_permaslug
"qwen/qwen3.6-35b-a3b-20260415"
provider_name
"AtlasCloud"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777280856-iC0ARTLxii8jOtHk62O9"
session_id
(null)
api_type
"completions"
id
"gen-1777280856-BqfNwcqnhN5LNK7qv0Fn"
upstream_id
"507720c567c44b61b8ceafd8b0dffecd"
total_cost
0.00744371
cache_discount
(null)
upstream_inference_cost
0
provider_name
"AtlasCloud"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
99.99%
Dialogue to Total Word Ratio
Ratio: 49.01%, Deviation: 0.99%
neededClean
false
wordsTotal
202
wordsDialogue
99
99.9952%