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Run: 2026-05-22-01KS86XZM5TX86J6QGTFB1GCJ7
Run Details
Model:
Qwen3.7 Max
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
1m 44s
Cost:
$0.060678
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
Molly unrolled the crumpled blueprint across the sticky diner table, smoothing out the creases with her elbow. The schematic detailed the sprawling suburban backyard of the mayor, currently hosting a massive birthday bash for his spoiled toddler. Bill sat opposite her, nervously peeling the label off his coffee mug while eyeing a stack of stolen catering uniforms. They had spent three weeks casing the joint, noting the exact patrol routes of the hired security and the precise moment the cake would be served. "We need a bouncy castle distraction." Molly tapped a greasy fingernail against the patio doors, tracing the path from the driveway straight to the gift table. It was a ridiculous target, but the ransom on those luxury toys would fund their retirement. Bill wiped sweat from his forehead, adjusting his oversized suspenders. The plan relied entirely on absolute chaos. "I will wear the clown shoes." He reached into his duffel bag, pulling out a rubber chicken and a handful of confetti. Molly checked her watch, signaling that the magic show was about to begin. She nodded at her partner, giving him the final cue to initiate their absurd operation. "Grab the big stick and steal the gifts."
created_at
"2026-05-22T16:05:11.956Z"
5/22/2026, 4:05:11 PM
model
"qwen/qwen3.7-max-20260520"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
799
moderation_latency
(null)
generation_time
104129
tokens_prompt
77
tokens_completion
5740
native_tokens_prompt
76
native_tokens_completion
8065
native_tokens_completion_images
(null)
native_tokens_reasoning
7813
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
0.0606775
router
(null)
provider_responses
0
endpoint_id
"6d30fdc6-f2a7-4bdf-b6ba-32353496d723"
id
"chatcmpl-61e8ab57-2b62-9628-be29-dfd88898fede"
is_byok
false
latency
799
model_permaslug
"qwen/qwen3.7-max-20260520"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer
(null)
request_id
"req-1779465911-KPsLb5FOXLUmK65t7leu"
session_id
(null)
api_type
"completions"
id
"gen-1779465911-14GUb1ExklruLMgiwNs6"
upstream_id
"chatcmpl-61e8ab57-2b62-9628-be29-dfd88898fede"
total_cost
0.0606775
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%