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Run: 2026-09-02-01M1HCPMQ1KAYYMXA9J1RK79SB
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
2m 43s
Cost:
$0.044036
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 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 adjusted her clown mask. Bill unfolded the party map, sighed, and pointed slowly toward the nearby bouncy castle entrance. "Bill, we enter the party wearing giant purple dinosaur costumes." "Molly, those costumes scream thief, especially with your shiny boots." "Fine, bring clown shoes to distract the tiny noisy guests." "The cake table mostly blocks the present pile from view." "We crawl under it, grab sacks, and whistle very casually." "What about the magician, the puppeteer, and the screaming children?" "Tip him. Balloon animals keep all busy little hands occupied." "And the birthday mother? She photographs every suspicious movement constantly." "Compliment her outfit. Ask about the organic pink juice boxes." "While you chat, I quickly swap the gift bags nearby." "Remember, every present belongs to us after the music stops." "The musical chairs give us exactly seven glorious chaotic seconds." "Still, seven seconds for thirty presents, Bill, that is optimistic." "Use the trolley disguised as a sleeping pink unicorn piƱata." "If it wakes, distract it with glitter and cupcake sprinkles." "Sprinkles create traction hazards on polished kitchen floors, Molly dear." "Wear socks, then slide like heroic, greedy, silly winter penguins." "Perfect. We escape quietly before the goodie bags attack tonight."
created_at
"2026-09-02T15:44:47.343Z"
9/2/2026, 3:44:47 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1151
moderation_latency
(null)
generation_time
163082
tokens_prompt
75
tokens_completion
6578
native_tokens_prompt
127
native_tokens_completion
7297
native_tokens_completion_images
(null)
native_tokens_reasoning
7006
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
0.044036
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788363887-ZIMR7FQtVhKS2jMU4EFF"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788363887-ia7ayigy1531P4E3cwFY"
upstream_id
"chatcmpl-34f2c290-2b5d-9e0a-8481-e91c53860766"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-34f2c290-2b5d-9e0a-8481-e91c53860766"
is_byok
false
latency
1149
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.044036
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%