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Run: 2026-09-02-01M1HH4SCYMHE1MD4V6TFV4AC4
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
2m 44s
Cost:
$0.005589
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
36.79%
Dialogue to Total Word Ratio
(details)
68.3940%
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
"Okay, Molly. Is the clown distressed?" "Distress is dramatic. He is crying by the cake table." "Fine. What is the plan?" "Bill, I told you. We enter as magicians. Cute rabbits, terrible hats." "And the presents?" "We grab all the presents. Every single one." "Even the tiny sock set from Grandma?" "Especially the tiny sock set. It smells like adventure and lavender." "Will you stop narrating the lavender?" "It is motivational." "What about the parents?" "They are busy pretending one juice box is enough." "Perfect. Signal?" "A scream, but only the polite, harmless kind." "Got it. When do we strike?" "After the piƱata. That is chaos. That is art." "And if we get caught?" "We cry. Children are great at it. We steal the whole pile, Bill." "Can I carry the big boxes?" "You carry guilt." "Where do we dump them?" "Truck." "Truck?" "Mine. It smells like pizza and regret." "Wait, what about the bouncy castle?" "Distraction. I inflate it with my ego." "Only if the frosting hides evidence." "Should we take the name tag?" "Yes. I need aliases." "Bill the Bandit?" "Too obvious. Make me Mysterious." "Fine. Mysterious Bill." "Let us go." "Remember: smile, wave, avoid the sticky carpet."
created_at
"2026-09-02T17:02:42.468Z"
9/2/2026, 5:02:42 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
796
moderation_latency
(null)
generation_time
146120
tokens_prompt
75
tokens_completion
8363
native_tokens_prompt
127
native_tokens_completion
11850
native_tokens_completion_images
(null)
native_tokens_reasoning
11516
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
0.00558855
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788368562-sKN5cDxwsc2PRZcIkr6E"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788368562-9GrCIJifuklWvC2kyAfa"
upstream_id
"chatcmpl-5da908fb-6ec7-905b-9d0b-bb646597853d"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-5da908fb-6ec7-905b-9d0b-bb646597853d"
is_byok
false
latency
796
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00558855
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
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
200
wordsDialogue
200
68.3940%