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Run: 2026-09-02-01M1HGASH4HESBJY2DM7KRW71E
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
5m 35s
Cost:
$0.011948
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 500 word scene that has 30% 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 flattened the crayon blueprint across the breakfast table and nearly swept a spoonful of cereal into Bill's lap. "We enter through the clown van," she announced, as if proposing a merger. Bill leaned closer, squinting at the drawing of a backyard labeled Birthday Zone. "That smells like cake and truly terrible planning," he added with reverence. He traced a dotted line from the gift table to the inflatable castle. "The castle is a decoy." Molly slapped the blueprint with her hand. "The parents are arguing about gluten." Bill gasped. Molly produced a tiny map of the party complete with cookie stains and a suspicious sketch of the piƱata. "We need distractions," she said. He pointed to himself. "I have a face for this." He meant his ears. She ignored him and slid a list of presents across the table. "We take the boxed ones first." Bill looked up from the cookie. "Are the socks for morale?" he asked. Molly tapped a box. "Dino kits. Expensive." Bill grinned. "Dad jokes and theft," he said with delight. Bill paced the kitchen holding a toy radio like a grenade. Molly watched him with the patience of a cat. "We arrive as guests," she said. Bill stopped short. "I can be the sad uncle." Molly raised an eyebrow. "You already accepted early." Bill winced. "I wanted the gift bag." A napkin drifted down and landed on the map. "The clown will be distracted by sugar." Bill tilted his hat. "What if he is in on it?" Molly shrugged. "Then he's the getaway driver." Bill's eyes brightened. "I like this plan." Molly pinned a balloon to the blueprint with a pen. "We time it when candles go out," Bill whispered. "A darkness of cake?" Molly asked. "Can we keep the candles?" Bill asked softly. "No, blow them out." She straightened his ridiculous feathered hat. "When rich, what do we buy?" Molly considered. "A smaller party." Bill laughed so hard he knocked over the cereal. "We're not sad. We're opportunists." Molly corrected him before he could argue. "Relocating generosity before taxes." Bill gasped. "You're a genius." Molly rolled the blueprint under one arm. "Then let us make birthday history." Bill bowed toward the cake as if blessing it. "We steal all gifts." Molly pointed the pen at him. "No, steal the expensive ones." Bill grabbed his gloves as if the gloves had ever solved anything. The morning sun glinted on their stolen van, which currently contained a rented bouncy castle, forty napkins, and one very suspicious cake. The two thieves slipped out through the back door carrying a plan full of balloons, sugar, and questionable choices. Outside, the stolen van sat under a tree waiting for its owners to behave. Bill checked his gloves twice while Molly memorized the guest list. The map fluttered in their hands like a white flag made of cake crumbs and greed. They looked less like masterminds and more like two raccoons who had learned to wear shoes happily ever.
created_at
"2026-09-02T16:48:28.463Z"
9/2/2026, 4:48:28 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
762
moderation_latency
(null)
generation_time
320153
tokens_prompt
75
tokens_completion
18307
native_tokens_prompt
127
native_tokens_completion
25380
native_tokens_completion_images
(null)
native_tokens_reasoning
24716
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
0.01194765
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788367708-K5tvn0HEDb0YViNAKR9k"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788367708-pjtjWe6HGu75lsTOjsPH"
upstream_id
"chatcmpl-96c742e2-95ee-9b91-b01d-9f4fb0df086b"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-96c742e2-95ee-9b91-b01d-9f4fb0df086b"
is_byok
false
latency
762
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.01194765
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
500
100.00%
Dialogue to Total Word Ratio
Ratio: 30.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
150
100.0000%