Run: 2026-09-03-01M1KZ7PZ7JSPFR8MMW9XQ8ENC

Run Details

Duration:
1m 12s
Cost:
$0.011009
Provider:
Tencent

Evaluation summary

Score Evaluator
Details Link
100.00% Count dialogue tags (details)

Model input

User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.

Model response

AI
Flour drifted through the golden light of the small-town bakery, settling like snow on the worn wooden counter. "Someone took the last cinnamon roll right before the morning rush. Again." "Maybe the early delivery driver got hungry." "He’s been delivering here for ten years and never once touched a pastry without paying." "Then maybe it was that stranger who asked about the recipe yesterday." "The one with the notebook and the overly sweet smile? What did he want with Grandma’s cinnamon recipe?" "He said he was writing an article on small-town bakeries. But he kept looking at the back office." "Where the safe is." "And the old ledger." "We should check the security camera." "The camera has been unplugged since Tuesday." "That’s not a coincidence." "Did you notice crumbs on the windowsill?" "Those weren’t there when we closed last night." "So someone was inside after hours, helped themselves to a roll, and didn’t even wipe their mouth." "Or they wanted us to think it was just a hungry thief." "While they were really after something else." "Something worth more than pastries." "Like the recipe, or the ledger, or the truth about what happened to old Mr. Pemberton." "Keep your voice down. The bell over the door just rang."
created_at"2026-09-03T15:47:09.934Z" 9/3/2026, 3:47:09 PM
model"tencent/hy4-preview-20260827"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1789
moderation_latency(null)
generation_time71941
tokens_prompt78
tokens_completion4590
native_tokens_prompt83
native_tokens_completion4374
native_tokens_completion_images(null)
native_tokens_reasoning4096
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.011008596
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788450429-SBsQSkaqYQO8fjByDdOZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788450429-M4urVvF0MkTjJEg84LZV"
upstream_id"946ad49d-69ed-463f-996e-e42fc40dd090"
provider_responses
0
endpoint_id"ad2a4093-3d2a-41d9-adf1-8b499ac8445d"
id"946ad49d-69ed-463f-996e-e42fc40dd090"
is_byokfalse
latency1789
model_permaslug"tencent/hy4-preview-20260827"
provider_name"Tencent"
status200
total_cost0.011008596
cache_discount(null)
upstream_inference_cost0
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
100.00% Count dialogue tags n/a
neededCleanfalse
dialogueTags(empty)