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Run: 2026-09-02-01M1H9EDHA7T03AC0RNENWZ56K
Run Details
Model:
Qwen 3.7 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
1m 25s
Cost:
$0.001880
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
96.31%
Dialogue to Total Word Ratio
(details)
93.3957%
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 recycled cupcake-liner goggles. Molly checked her juice-box watch with trembling hands. Bill tested the elasticity of his licorice whip. "Listen closely," Molly hissed. "Lasers are bouncy castles." Bill nodded, patting the confetti cannon strapped to his back. "Understood. Once I fire the glitter bomb, the security guard's eyes will be blinded by festive sparkle," Dust motes danced in the spotlight beams. Wind whipped through the plastic palm trees. "Time is tight. We grab the mega Lego fortress and the golden retriever pup first," Fear glistened in Bill's eyes behind mesh. A distant giggle signaled approaching danger. "Leave the balloons alone. The noise cancellation fails if one pops during the silence phase," Bill drew his grappling hook, crafted from braided twists, and smirked beneath his ninja mask. "I'll create a diversion at the snack table." He paused, looking at the flamingo-shaped hedge. "Do not engage the piƱata bear trap," Molly rolled her eyes and shoved him. "Focus! We breach the perimeter, secure the loot, and vanish before the singing comes," Bill scrambled after her. "Mom awake?" Bats circled the disco ball. One. Molly ran out. "Blame the dog. Move!"
created_at
"2026-09-02T14:47:52.116Z"
9/2/2026, 2:47:52 PM
model
"qwen/qwen3.7-flash-20260727"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
801
moderation_latency
(null)
generation_time
84607
tokens_prompt
75
tokens_completion
11294
native_tokens_prompt
76
native_tokens_completion
14443
native_tokens_completion_images
(null)
native_tokens_reasoning
14171
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"
service_tier
(null)
usage
0.00187987
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788360472-f5Vlfc1WpO5Lwp322Vcl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788360472-uo12cHncnx6j64Y2vnQP"
upstream_id
"chatcmpl-d876b62a-865d-91f7-ba8c-c03135f79981"
provider_responses
0
endpoint_id
"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id
"chatcmpl-d876b62a-865d-91f7-ba8c-c03135f79981"
is_byok
false
latency
801
model_permaslug
"qwen/qwen3.7-flash-20260727"
provider_name
"Alibaba"
status
200
total_cost
0.00187987
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
90.48%
Matches word count
n/a
neededClean
false
words
190
96.31%
Dialogue to Total Word Ratio
Ratio: 45.60%, Deviation: 4.40%
neededClean
false
wordsTotal
193
wordsDialogue
88
93.3957%