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Run: 2026-09-03-01M1M1MKE0M2V1QGPXYY9EH7MB
Run Details
Model:
Hy4 Preview (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
6m 8s
Cost:
$0.073526
Provider:
Tencent
Evaluation summary
Score
Evaluator
Details Link
97.63%
Matches word count
(details)
99.71%
Dialogue to Total Word Ratio
(details)
98.6677%
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
The van sat beneath a dying oak, its engine ticking like a bomb in a bad cartoon. Molly adjusted the night-vision goggles she had borrowed from a man who sold her a fake mustache and a grappling hook. Across the street, the Halvorsen house glowed like a sugar factory. Balloons bobbed on the mailbox. A banner stretched across the garage, shouting HAPPY 7th BIRTHDAY, CHLOE! Bill unfolded the blueprint and pressed a finger to the gift table. “We go in at cake time,” he said. Molly leaned over his shoulder. Through the binoculars she counted at least forty brightly wrapped presents stacked beside a karaoke machine. A golden retriever the size of a loveseat sprawled across the porch, one ear tuned to the universe, the other to the sausage in Molly’s pocket. “Cake time is chaos time,” she said. “Parents chase frosting, kids chase sugar, and the dog chases crumbs.” “What dog?” Bill asked. “Captain Waffles,” she said. “He’s part retriever, part loveseat, and entirely open to sausage bribery.” Bill frowned. The clown suit lay on the seat, a rainbow explosion of polyester and decisions. Molly had insisted the disguises were necessary: a magician and her assistant could walk into a child’s party without an adult asking why a stranger carried an empty duffel bag. “I don’t love the clown plan,” he muttered. “You don’t have to love it,” Molly replied. “You just have to wear it.” She tossed him a rainbow wig and a red nose. Bill held them at arm’s length, as if they might bark. Then he sighed, shoved his feet into floppy shoes that could have doubled as canoes, and accepted his fate. “Why do I have to be the clown?” he asked. “Because I’m the magician,” she said. “And every great magician needs an assistant who looks like a lawsuit.” “That hurts,” Bill said. “Put on the shoes, Bill. The extra-large shoes.” He did, wobbling like a giraffe. Molly checked her reflection, adjusted a top hat, and practiced a smile that said, Nothing to see here, just an entertainer with a large bag. “Plan?” Bill asked. Molly pointed at the gift table, where adults argued over “Baby Shark.” “I distract the adults, you charm the kids, and we swap the presents for decoys,” she said. “Decoys?” “Empty boxes,” she said. “Rocks for weight. One sad yo-yo.” Bill nodded, which made his red nose honk against the steering wheel. Outside, Captain Waffles lifted his head at the sausage in Molly’s pocket. “And if the dog intervenes?” he asked. “Bribery,” Molly said, holding up a zip-top bag of sausage. “Not a crime if the recipient is a dog.” “I’m pretty sure it is,” Bill said. “It’s victimless, Bill. Like taking candy from a baby with a karaoke machine.” Bill stood, wobbled, and took out a mailbox with one enormous shoe. Molly opened the van door and stepped into the light. The screams of children rolled across the lawn like chaos.
created_at
"2026-09-03T16:29:09.448Z"
9/3/2026, 4:29:09 PM
model
"tencent/hy4-preview-20260827"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1458
moderation_latency
(null)
generation_time
367986
tokens_prompt
75
tokens_completion
24668
native_tokens_prompt
83
native_tokens_completion
29371
native_tokens_completion_images
(null)
native_tokens_reasoning
28650
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
0.073526093
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788452949-14d6AJg3zPdWoAAb3D90"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788452949-x3pbz0LiLPAjgTuVy5DF"
upstream_id
"e8d40c21-4de9-49be-bb97-de09b829ad02"
provider_responses
0
endpoint_id
"ad2a4093-3d2a-41d9-adf1-8b499ac8445d"
id
"e8d40c21-4de9-49be-bb97-de09b829ad02"
is_byok
false
latency
1458
model_permaslug
"tencent/hy4-preview-20260827"
provider_name
"Tencent"
status
200
total_cost
0.073526093
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Tencent"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
97.63%
Matches word count
n/a
neededClean
false
words
493
99.71%
Dialogue to Total Word Ratio
Ratio: 30.24%, Deviation: 0.24%
neededClean
false
wordsTotal
496
wordsDialogue
150
98.6677%