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Run: 2026-09-02-01M1HBH461E79JRHS4ZMYWW1NY
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
2m 56s
Cost:
$0.043382
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 and Bill hid behind the punch table, whispering while balloons bumped the ceiling. Their big sack waited nearby, empty. “Bill, the party starts at noon.” “Then we arrive before the clown.” “Children trust magicians, Bill. Become one.” “I only have one sad rabbit.” “Sad rabbits distract hungry children perfectly.” “What if they want many hugs?” “You are wearing a fake mustache.” “That explains my very secret identity.” “The presents sit near the cake.” “We grab presents, ignore the cake.” “Cake is delicious frosting evidence, Molly.” “Evidence tastes excellent with cold milk.” “Focus. The piñata is watching us.” “Piñatas cannot see anything at all.” “This one has very suspicious eyes.” “Leave it. Grab the gifts quickly.” “Some gifts are only books, Molly.” “Books are presents with better manners.” “The birthday child is looking here.” “Smile. We are party entertainers now.” “I forgot my favorite juggling balls.” “Juggle cupcakes. Nobody questions flying cupcakes.” “Flying cupcakes attract too much attention.” “Attention is just applause with suspicion.” “The big sack is almost full.” “Take the balloon arch with us.” “That is not technically a present.” “Everything at parties is technically loot.” “Molly, you have frosting on you.” “Then let us flee gracefully, Bill.”
created_at
"2026-09-02T15:24:17.996Z"
9/2/2026, 3:24:17 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1176
moderation_latency
(null)
generation_time
176109
tokens_prompt
75
tokens_completion
6210
native_tokens_prompt
127
native_tokens_completion
7188
native_tokens_completion_images
(null)
native_tokens_reasoning
6896
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
0.043382
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788362658-mxYeVyEbKa4eDWz0URE4"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788362658-7v8JWOb10Luyf9DxNERf"
upstream_id
"chatcmpl-5b5987e8-b538-9dc7-ac29-f365029b6c96"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-5b5987e8-b538-9dc7-ac29-f365029b6c96"
is_byok
false
latency
1176
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.043382
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%