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Run: 2026-04-27-01KQ70EB2YYMHTH1MGKRQEGV62
Run Details
Model:
Qwen 3.5 Plus (2026-04-20)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
1m 40s
Cost:
$0.015839
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
99.74%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.8722%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 tapped the laminated flyer on the diner table. Rain tapped the window. Bill adjusted his crooked tie. So the Johnsons host the neighborhood bash Saturday. Ball pit, pony rides, zero security. Bill stirred his coffee with a bent straw. Perfect. I'll pose as the hired clown. You handle the loot extraction. Extract? Molly raised an eyebrow. You mean grab everything marked from Santa while kids scream? Exactly. We hit the gift table during the pinata chaos. Confetti covers our escape. What if the parents notice? Let them notice. We leave a single sock and a fake ransom note demanding juice boxes. Misdirection, Bill. Misdirection. Right. Do we need disguises? Yes. I'm thinking oversized elf hats. You're the reindeer. We blend into the festive dread. Felting suits? Cheap, flammable, and deeply undignified. We start packing at noon. Don't forget the burlap sacks. Stitched the initials. B and M for martyrs. Keep it professional, Bill. We're thieves, not charity organizers. Sure thing. Just adding holiday spirit. Stick to the schedule. Toys in bag, exits clear, never look back at the weeping toddlers. Got it. Sacks ready by five a.m? Closer to seven. I need time to practice my evil laugh. Just grab the presents, Molly.
created_at
"2026-04-27T08:21:09.861Z"
4/27/2026, 8:21:09 AM
model
"qwen/qwen3.5-plus-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
725
moderation_latency
(null)
generation_time
99517
tokens_prompt
77
tokens_completion
5584
native_tokens_prompt
76
native_tokens_completion
6587
native_tokens_completion_images
(null)
native_tokens_reasoning
6280
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
0.0158392
router
(null)
provider_responses
0
endpoint_id
"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id
"chatcmpl-90f91753-52f0-9d8b-b069-ff24591e834a"
is_byok
false
latency
725
model_permaslug
"qwen/qwen3.5-plus-20260420"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777278069-Sn2LQJIPN6ovAqFCcBk3"
session_id
(null)
api_type
"completions"
id
"gen-1777278069-azWSRyNfyza00pGxcgCR"
upstream_id
"chatcmpl-90f91753-52f0-9d8b-b069-ff24591e834a"
total_cost
0.0158392
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.74%
Matches word count
n/a
neededClean
false
words
204
0.00%
Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 90.00%
neededClean
false
wordsTotal
204
wordsDialogue
0
49.8722%