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Run: 2026-09-02-01M1H9A4QHTGW3D0WKCS1TZBP6
Run Details
Model:
Qwen 3.7 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
41.0s
Cost:
$0.000952
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 cardboard fortress rested neatly on the green lawn, its paper turrets gleaming under morning light. Molly adjusted her neon visor, studying the hastily sketched layout on a greasy napkin. Bill crouched beside her, methodically sorting magnetic tape, rubber bands, and three flavors of sour candy into precise tactical piles. Successful extraction demanded absolute silence and complete parental absence. The host child turned nine, guaranteeing a treasure trove of electronic gadgets and plush toys worth far more than their combined weekly pay. Molly smoothed her jacket. The timeline required surgical precision before the first slice of cake appeared. "We breach when the balloons pop," Molly murmured. She gestured toward the patio doors. Bill nodded slowly, stretching his shoulders inside a ridiculous dinosaur onesie purchased from a liquidation sale. "Position the large trash bags near the oak tree," Bill commanded. The entire scheme relied on theatrical distractions and strategically placed bubbles. He glanced at his dead watch. The clock had to sync perfectly with the opening of gifts. "Do not drop anything now." One misplaced sneeze would trigger a cascade of wailing children and furious guardians. The asphalt driveway shimmered with midday heat while distant lawnmowers droned lazily across the street.
created_at
"2026-09-02T14:45:32.045Z"
9/2/2026, 2:45:32 PM
model
"qwen/qwen3.7-flash-20260727"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
366
moderation_latency
(null)
generation_time
40885
tokens_prompt
75
tokens_completion
5340
native_tokens_prompt
76
native_tokens_completion
7308
native_tokens_completion_images
(null)
native_tokens_reasoning
7053
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
0.00095232
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788360332-LR0c8Fnv5UNUnERwCnoP"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788360332-zILm2XOHTC2iAbR2NyoH"
upstream_id
"chatcmpl-1ed3c183-f30a-95f0-8621-eddf9eadb98b"
provider_responses
0
endpoint_id
"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id
"chatcmpl-1ed3c183-f30a-95f0-8621-eddf9eadb98b"
is_byok
false
latency
366
model_permaslug
"qwen/qwen3.7-flash-20260727"
provider_name
"Alibaba"
status
200
total_cost
0.00095232
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
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%