Run: 2026-09-03-01M1M0XPJEHR19MHVA932DPKJK

Run Details

Duration:
3m 59s
Cost:
$0.043894
Provider:
Tencent

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

AI
Molly checked the window. “Okay, Bill, the coast is finally clear. The silly birthday clown is crying right now in the bouncy castle again.” “Why is the silly birthday clown crying now?” Bill asked. “Did someone pop his last balloon animal on purpose?” “No,” Molly said. “He realized the stuffed piñata is actually his union rep. Now listen closely, because this part is important. We sneak in through the gift table, grab every single shiny present, and leave before the kids open the really good loot.” “Every single last present?” Bill whispered. “Even the silly ones wrapped in that shiny dinosaur paper?” “Especially those right there,” Molly said. “Kids absolutely love dinosaurs. That means big expensive toys inside. You take the left side, I’ll take the right side. Seriously avoid the cake; it’s definitely a trap.” “A trap?” Bill said. “What kind of trap is it?” “The kind with radioactive frosting,” Molly said. “Last year I lost a shoe and my dignity to a sprinkle ambush at a stupid party. Ready?” Bill nodded. “Ready. But seriously, if a little toddler bites me again, I’m keeping every single present as hazard pay.” “Deal,” Molly said. “On three. One, two, three, go!”
created_at"2026-09-03T16:16:38.998Z" 9/3/2026, 4:16:38 PM
model"tencent/hy4-preview-20260827"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1926
moderation_latency(null)
generation_time239157
tokens_prompt75
tokens_completion15103
native_tokens_prompt83
native_tokens_completion17523
native_tokens_completion_images(null)
native_tokens_reasoning17237
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)
usage0.043894245
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788452199-O2k6oYbGLMDB4lBHh0H9"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788452199-RObrz0qPivNkb5l5cXQO"
upstream_id"a6e197d1-a4c0-428d-b062-fa2fe11b682f"
provider_responses
0
endpoint_id"ad2a4093-3d2a-41d9-adf1-8b499ac8445d"
id"a6e197d1-a4c0-428d-b062-fa2fe11b682f"
is_byokfalse
latency1926
model_permaslug"tencent/hy4-preview-20260827"
provider_name"Tencent"
status200
total_cost0.043894245
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% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue180
100.0000%