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Run: 2026-04-27-01KQ77C5V6EJ1VRZ5YPYQR3N5M
Run Details
Model:
Qwen3.6 Max Preview
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
6m 28s
Cost:
$0.080517
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
95.2416%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 map. Bill adjusted his eyepatch. “Tell me the full target details again, please.” “Bouncy castle adjacent to the present table.” “Clowns or magicians?” “Two clowns, one exhausted mother, zero real professionals.” “Security cameras?” “None. Just a cheap baby monitor facing left.” “Guard dog?” “Golden retriever named Biscuit. Highly bribable with cheddar.” “Entry point?” “Side gate. We pose as professional balloon twisters.” “I truly hate balloons. They pop too loudly.” “Wear thick earplugs. We slip inside during musical chairs.” “What about the piñata?” “Primary distraction. While kids swing, we grab everything.” “Loot being cheap plastic junk and wool socks?” “Three expensive gaming consoles, Bill. Stay focused.” “Right. What is our extraction route?” “Slide down the long inflatable tube into the van.” “Timeline?” “Four minutes total. In, grab, out before cake.” “Cake flavor?” “Chocolate frosting. Completely irrelevant to the mission.” “Highly relevant. I work much better with sugar.” “Fine. Grab a slice on the way out.” “Deal. What if Biscuit barks?” “Throw cheese. Run fast. Ignore the toddler.” “This feels incredibly messy.” “Quiet, lucrative, and deeply shameful.” “I absolutely love it.” “Check the goody bags too.” “Copy that. We strike at noon sharp.” “Bring extra cheese.” “Always.” The neon sign buzzed. Rain tapped the glass. Molly nodded. Bill watched.
created_at
"2026-04-27T10:23:58.211Z"
4/27/2026, 10:23:58 AM
model
"qwen/qwen3.6-max-preview-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1218
moderation_latency
(null)
generation_time
289082
tokens_prompt
77
tokens_completion
9216
native_tokens_prompt
76
native_tokens_completion
10310
native_tokens_completion_images
(null)
native_tokens_reasoning
9941
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
0.0805168
router
(null)
provider_responses
0
endpoint_id
"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id
"chatcmpl-0250eda5-5eec-9ddc-97d4-4b63cff91545"
is_byok
false
latency
1218
model_permaslug
"qwen/qwen3.6-max-preview-20260420"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777285438-eH3LYEnlulaaNJWEFbY1"
session_id
(null)
api_type
"completions"
id
"gen-1777285438-7G3AlKUQGnhAdM2Bl8dF"
upstream_id
"chatcmpl-0250eda5-5eec-9ddc-97d4-4b63cff91545"
total_cost
0.0805168
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
90.48%
Matches word count
n/a
neededClean
false
words
210
100.00%
Dialogue to Total Word Ratio
Ratio: 90.48%, Deviation: 0.48%
neededClean
false
wordsTotal
210
wordsDialogue
190
95.2416%