Run: 2026-09-02-01M1HC47FP0QFVSEFYMXZHJXG6

Run Details

Duration:
2m 4s
Cost:
$0.031904
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 50% 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 unfolded the crayon map beside the rusty white van. "The bouncy castle distracts every child at two sharp tomorrow." Bill adjusted his clown wig and winked at his reflection. "I bring extra sacks disguised as laundry from my aunt." She tapped the frosting sketch with one gloved yellow finger. "Do not touch the cake unless I signal with whistling." He gulped, remembering the birthday clown had very sharp elbows. "What if the magician notices us sneaking behind the presents?" Molly grinned, showing a chipped tooth from the previous job. "You compliment his rabbits until I open the garden gate." Bill polished his tiny harmonica while pretending to admire balloons. "These children have too many gifts for one tiny party." She straightened her party hat, entirely too serious for crime. "We redistribute joy, not steal, remember our very noble plan." He practiced a chuckle that sounded like nervous garden gnomes. "I already rehearsed my jolly laugh for all distracted parents." Molly snatched the cigar from his lips and crushed it. "Keep the balloons away from your cigar, you walking disaster." Bill grabbed the wagon handle, eyes glittering with greedy mischief. "Tonight, every present rides home in our spectacular stolen wagon."
created_at"2026-09-02T15:34:43.968Z" 9/2/2026, 3:34:43 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1004
moderation_latency(null)
generation_time124000
tokens_prompt75
tokens_completion4660
native_tokens_prompt127
native_tokens_completion5275
native_tokens_completion_images(null)
native_tokens_reasoning5014
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)
usage0.031904
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788363283-AuA10EeeJGa9bFxiYvVp"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788363283-TlQt8IkowfvnB5ujlxY4"
upstream_id"chatcmpl-7aa4350d-f65c-99eb-9dd8-57969d455232"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-7aa4350d-f65c-99eb-9dd8-57969d455232"
is_byokfalse
latency1004
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0.031904
cache_discount(null)
upstream_inference_cost0
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
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%