Run: 2026-02-25-01KJBDT5FCHYQGZ8E9R2SQPQWF

Run Details

Duration:
1m 19s
Cost:
$0.021023
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
87.84% Dialogue to Total Word Ratio (details)
93.9223% 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 adjusted her mask. "So, the target is the birthday boy's pile?" Bill checked his watch. "Exactly. Unopened Lego sets, action figures, the works." "Parents are distracted by the cake?" "Dad's cutting, Mom's taking photos. Window." "How do we get in?" "Back door. Unlocked. Kids left it open for the cat." "The cat?" "Yes, the cat. It's a golden retriever." "And the exit?" "Dumpster behind the house. We blend in with the trash." "We're stealing presents to blend in with trash?" "We sell them later. Tonight we just need the goods." "What if the mom asks for ID?" "We're wearing clown noses." "Clown noses?" "It's a clown party. Nobody suspects the clowns." "I hate clown noses." "Think of the profit." "Okay. When do we move?" "Now. The cake is being sliced." "Do we take the piƱata?" "Only if it's full." "What about the security guard?" "He's sleeping." "Is he?" "Yes." "After you." "After you." "You're right. I'll go first." "Don't trip on the balloon." "I won't. I'm a pro." "You tripped last week." "That was a rug." "Same difference." "Wait, is that the music?" "No, that is the alarm." "We're doomed." "Not if we run." "Run where?" "Into the pool."
created_at"2026-02-25T22:13:17.433Z" 2/25/2026, 10:13:17 PM
model"qwen/qwen3.5-27b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency341
moderation_latency(null)
generation_time78675
tokens_prompt77
tokens_completion6412
native_tokens_prompt76
native_tokens_completion8750
native_tokens_completion_images(null)
native_tokens_reasoning8405
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0210228
router(null)
provider_responses
0
endpoint_id"f3f88554-0c22-4d57-973b-0dec948808e8"
id"chatcmpl-32c0b54a-7ff3-9c9a-883f-5632b9f414ca"
is_byokfalse
latency341
model_permaslug"qwen/qwen3.5-27b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772057597-lpN1ICUfvX0bEWQtEMLV"
upstream_id"chatcmpl-32c0b54a-7ff3-9c9a-883f-5632b9f414ca"
total_cost0.0210228
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
87.84% Dialogue to Total Word Ratio
Ratio: 96.00%, Deviation: 6.00%
neededCleanfalse
wordsTotal200
wordsDialogue192
93.9223%