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Run: 2026-04-27-01KQ779RA0JYTNHDERNG063FCC
Run Details
Model:
Qwen 3.6 Flash
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
54.7s
Cost:
$0.015425
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
95.99%
Matches word count
(details)
42.99%
Dialogue to Total Word Ratio
(details)
69.4879%
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 goggles and checked the laser map projected onto her elbow. "Bill, the beams are tighter than a sphincter." Bill hopped on one foot, juggling marbles and a cupcake while balancing a crate of dynamite. His velvet tuxedo crinkled like cellophane. "Relax. The kazoo discombobulator makes us a drunk polka band to the sensors." Molly checked her reflection, ensuring her goggles shimmered with menace and tactical superiority. "What about the dad?" Bill pointed at the patriarch screaming at a balloon artist near the snack table. "Distracted." Bill whispered, pulling a squeaky hammer. "Four minutes to rob the party." Molly checked her stolen slot-watch. "Three minutes. Exit strategy?" Bill gestured toward the dunk tank. "Dump loot, ride lever, pop out in snorkels. We look like heroic dolphins." "What's the split?" Bill asked. "Thirty percent," Molly replied coldly. "Greed is a disease." "Then cure me with the loot." "Does the loot include the chocolate fountain?" Bill asked. "If we don't melt it first," Molly replied. The sprinklers glinted ominously above the playpen, waiting for a single careless sneeze to trigger a tidal wave of water. Molly zipped her velvet costume tight. "Move."
created_at
"2026-04-27T10:20:59.593Z"
4/27/2026, 10:20:59 AM
model
"qwen/qwen3.6-flash"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
639
moderation_latency
(null)
generation_time
54045
tokens_prompt
77
tokens_completion
9378
native_tokens_prompt
76
native_tokens_completion
10271
native_tokens_completion_images
(null)
native_tokens_reasoning
9983
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
0.0154255
router
(null)
provider_responses
0
endpoint_id
"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id
"chatcmpl-9dd8989c-1985-9d55-894a-edd42aec2f3a"
is_byok
false
latency
639
model_permaslug
"qwen/qwen3.6-flash"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777285259-sjwlTbxuIvO2y9kSuxC9"
session_id
(null)
api_type
"completions"
id
"gen-1777285259-8d8EHTlXtXPzF3hxbphK"
upstream_id
"chatcmpl-9dd8989c-1985-9d55-894a-edd42aec2f3a"
total_cost
0.0154255
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
95.99%
Matches word count
n/a
neededClean
false
words
192
42.99%
Dialogue to Total Word Ratio
Ratio: 40.41%, Deviation: 9.59%
neededClean
false
wordsTotal
193
wordsDialogue
78
69.4879%