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Run: 2026-09-02-01M1HC61NDJVMX9ZH7P0GV9ZPJ
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
1m 54s
Cost:
$0.030050
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 10% 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 spread the crayon map across the van floor, where glitter stickers marked the bouncy castle, cake table, and present mountain. Bill wore a clown nose he refused to explain. The birthday invitations promised piñatas, juice boxes, and catastrophic sugar levels. Their target: every gift, before the kids noticed. "Pass me the wrapping paper," Molly said. Bill saluted with a spatula. He had practiced looking harmless, which mostly meant hiding his crowbar inside a giant stuffed unicorn. Molly rehearsed her excuse: entertainment inspectors. Nobody questioned adults carrying clipboards, especially near frosting. Across the street, a banner read LUCY TURN SIX. Molly counted thirty balloons, one exhausted parent, and a magician whose wand looked suspiciously like a chopstick. "Too many witnesses," Bill whispered. Molly adjusted her hat disguise. Their plan required entering during musical chairs, grabbing sacks marked FOR LUCY, and escaping through the alley while everyone screamed over missing cupcakes. Bill had packed snacks, gloves, and a piñata, just in case. Bill squeaked, adjusting his enormous shoe, while Molly sighed. "I brought emergency glitter and tiny false mustaches, Molly." "We go now," Molly said. They tiptoed toward the yard, armed with gift bags, until a tiny voice demanded their badges.
created_at
"2026-09-02T15:35:43.542Z"
9/2/2026, 3:35:43 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1147
moderation_latency
(null)
generation_time
114064
tokens_prompt
75
tokens_completion
4191
native_tokens_prompt
127
native_tokens_completion
4966
native_tokens_completion_images
(null)
native_tokens_reasoning
4684
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
0.03005
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788363343-GQ3SXBp1z5nElr4aGZUX"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788363343-AivWZHrOgbgHeQm0SW2N"
upstream_id
"chatcmpl-5a3d81ac-07e0-9877-af6c-f38a084ff801"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-5a3d81ac-07e0-9877-af6c-f38a084ff801"
is_byok
false
latency
1146
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.03005
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%