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Run: 2026-04-27-01KQ77QPXJZJV121H7HHDFF9Y8
Run Details
Model:
Qwen3.6 Max Preview
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
4m 9s
Cost:
$0.071999
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 blueprints sprawled across the damp basement table like a fallen kite. Molly traced the inflatable castle perimeter with a grease pencil, her brow furrowed in tactical concentration. Bill polished a grappling hook meant for backyard fences, humming a nursery rhyme out of tune. They had robbed banks, museums, and armored convoys, but this job required unprecedented stealth. Bouncy castles posed serious tripping hazards. Face painters created unpredictable patrol patterns. The target was a fenced backyard hosting the neighborhood sixth birthday celebration. Intelligence suggested three dozen wrapped boxes sat unguarded near the potato salad. Security consisted of two exhausted parents and a golden retriever afraid of balloons. Molly adjusted her tactical vest, checking the reinforced sacks designed for bulky toys. Bill loaded tranquilizer darts specifically calibrated for hyperactive toddlers. The operation demanded military precision disguised as casual catering staff. Molly tapped the schematic twice. "Pinata first." Bill nodded while coiling nylon rope. "Then the gift table." Molly checked her watch carefully. "Clowns complicate extraction." Bill zipped his duffel bag shut. "We bring heavy earplugs." Molly smirked at the crayon drawings. "Sugar crashes definitely help." Bill cracked his knuckles loudly. "Absolutely perfect timing." They grabbed their equipment and fled into twilight.
created_at
"2026-04-27T10:28:36.924Z"
4/27/2026, 10:28:36 AM
model
"qwen/qwen3.6-max-preview-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1839
moderation_latency
(null)
generation_time
248592
tokens_prompt
77
tokens_completion
7294
native_tokens_prompt
76
native_tokens_completion
9218
native_tokens_completion_images
(null)
native_tokens_reasoning
8951
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
0.0719992
router
(null)
provider_responses
0
endpoint_id
"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id
"chatcmpl-4a9940a6-b451-9a7e-a4c2-e8d5eeac2cb6"
is_byok
false
latency
1839
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-1777285716-xi4BnnpUUVdJ9tiJeQ4c"
session_id
(null)
api_type
"completions"
id
"gen-1777285716-CNIsetCSc4tSCmlkb6A6"
upstream_id
"chatcmpl-4a9940a6-b451-9a7e-a4c2-e8d5eeac2cb6"
total_cost
0.0719992
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%