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Run: 2026-04-27-01KQ78HYR1VRS0KV2TH024H3SN
Run Details
Model:
Qwen 3.6 Flash
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
1m 3s
Cost:
$0.017917
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
95.99%
Matches word count
(details)
99.96%
Dialogue to Total Word Ratio
(details)
97.9717%
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
Bill adjusted his sumo suit, sweat pooling at his eyes. "Bill, check the piƱata tension. If the ribbon snaps, we lose the haul." Bill gave a thumbs up. "It's secure, Molly. I rigged the donkey with steel cable." Molly tapped her wrist comm. "Distraction plan?" Bill mimed tripping. "Check the vents. I trip the foam cannon. Chaos buys us ninety seconds. After cupcakes, their brain function melts. We go when the frosting hits." She narrowed her gaze beneath her neon party hat, finger on the trigger. "Signal?" Bill cracked his knuckles, the suit inflating slightly with the friction. "You yell Surprise. I scream Fire. Quietly. Plausible deniability." Molly glanced at the parents lounging by the streamers, their backs to the treasure. "The parents are watching the bounce house. We need to move fast." Bill hefted the velvet sack, testing the weight of their imagined loot. "I'll take the heat. You grab the Lego tower and the golden retriever figurine." Molly paused, her gloved finger hovering over the trigger. "Why the dog?" Bill adjusted his goggles, a mischievous glint in his wide plastic lenses. "Resale value, Molly." Molly grinned, hefting the sack over her shoulder as the clock ticked down. "We're ghosts in the frosting. Let's make it rain."
created_at
"2026-04-27T10:42:56.905Z"
4/27/2026, 10:42:56 AM
model
"qwen/qwen3.6-flash"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
678
moderation_latency
(null)
generation_time
62915
tokens_prompt
77
tokens_completion
10297
native_tokens_prompt
76
native_tokens_completion
11932
native_tokens_completion_images
(null)
native_tokens_reasoning
11617
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
0.017917
router
(null)
provider_responses
0
endpoint_id
"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id
"chatcmpl-37d49ece-1ef7-9442-be27-de063e2d674e"
is_byok
false
latency
678
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-1777286576-b8xVBDpcsR0KGQSHHBiQ"
session_id
(null)
api_type
"completions"
id
"gen-1777286576-z7Rupa9V2oAnXL6zY0Cy"
upstream_id
"chatcmpl-37d49ece-1ef7-9442-be27-de063e2d674e"
total_cost
0.017917
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
208
99.96%
Dialogue to Total Word Ratio
Ratio: 48.56%, Deviation: 1.44%
neededClean
false
wordsTotal
208
wordsDialogue
101
97.9717%