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Run: 2026-04-27-01KQ7A0A9RH1S0ZD4ARCEYGFKA
Run Details
Model:
Qwen3.6 Max Preview
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
2m 58s
Cost:
$0.055276
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
The laminated floorplans covered the wobbly cafe table, glowing under a buzzing pendant light. Molly circled the bouncy castle entrance with a yellow highlighter, calculating guard rotations near the juice fountain. Bill adjusted his rented mascot paws, which smelled faintly of popcorn and despair. He examined the invitation like a seasoned safecracker studying tumblers. The objective remained simple. Fifteen hyped toddlers, two sleeping grandparents, and one amateur face painter. The prize was magnificent. Towers of brightly wrapped boxes sat completely unguarded beside the folding chairs, begging for swift removal. Molly tapped the diagram three times, marking the escape path through the sandbox. Bill checked his wristwatch against the planned candle lighting. Precision mattered greatly. One clumsy step and they would trigger a tantrum of apocalyptic proportions. They had dodged pressure plates and attack hounds, yet screaming children presented a uniquely chaotic hazard. Rain battered the glass while distant traffic hummed a steady rhythm against the cracked pavement outside. Cold coffee cups cooled. Paper napkins fluttered gently. Molly leaned forward. "We strike when the clown drops his juggling pins." Bill nodded slowly. "I will load the red tricycle while you handle the parents." The scheme was locked. Saturday finally awaited them.
created_at
"2026-04-27T11:08:16.063Z"
4/27/2026, 11:08:16 AM
model
"qwen/qwen3.6-max-preview-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1147
moderation_latency
(null)
generation_time
177925
tokens_prompt
77
tokens_completion
6226
native_tokens_prompt
76
native_tokens_completion
7074
native_tokens_completion_images
(null)
native_tokens_reasoning
6811
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
0.055276
router
(null)
provider_responses
0
endpoint_id
"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id
"chatcmpl-a5e89468-9809-9f0e-9a87-c2405a9a119e"
is_byok
false
latency
1147
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-1777288096-oUoFCe3fsN6tLOqrMkTs"
session_id
(null)
api_type
"completions"
id
"gen-1777288096-Ai5A4ye4gGe4qC0qdIAY"
upstream_id
"chatcmpl-a5e89468-9809-9f0e-9a87-c2405a9a119e"
total_cost
0.055276
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
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%