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Run: 2026-09-02-01M1HB24XPF3AGFG2VAP036NY3
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
3m 33s
Cost:
$0.058790
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 whispered, “Bill, that bouncy castle is our Trojan horse, full of screaming, sticky, tiny witnesses, but presents await us.” Bill said, “Molly, I brought clown shoes, fake moustaches, enormous sacks, and juice boxes to bribe every suspicious toddler here.” Molly replied, “The cake table blocks the gift pile, so juggle napkins while I perform my disappearing magic act tonight.” Bill asked, “If parents demand entertainment credentials, shall I announce a piñata inspection and wave this glittery clipboard around here?” Molly said, “Do not panic when children scream; toss confetti, shout birthday emergency, and steer them from the exits quickly.” Bill muttered, “What about the birthday child, Molly, if he identifies us as villains instead of suspicious party assistants then?” Molly answered, “We give him a golden balloon, call him chief inspector, and promise first choice of stolen treasures outside.” Bill added, “I love that plan, unless cake is chocolate, because then I need one slice for courage too, obviously.” Molly promised, “Fine, carry cake in a getaway napkin, but do not drop presents into the strawberry fountain ever again.” Bill whispered, “Then we vanish into the hedge, divide loot in the van, and return next year as painters, Molly.”
created_at
"2026-09-02T15:16:07.231Z"
9/2/2026, 3:16:07 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1090
moderation_latency
(null)
generation_time
213235
tokens_prompt
75
tokens_completion
8553
native_tokens_prompt
127
native_tokens_completion
9756
native_tokens_completion_images
(null)
native_tokens_reasoning
9471
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
0.05879
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788362167-0xOmhyB5YYEJTrcunJCr"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788362167-TPC2leFjDR4ex0ih7Vt9"
upstream_id
"chatcmpl-159137a0-8b3f-9324-b922-0520db5d1a2a"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-159137a0-8b3f-9324-b922-0520db5d1a2a"
is_byok
false
latency
1090
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.05879
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%