Run: 2026-04-27-01KQ77QPXJZJV121H7HHDFF9Y8

Run Details

Duration:
4m 9s
Cost:
$0.071999
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 10% 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
The blueprints sprawled across the damp basement table like a fallen kite. Molly traced the inflatable castle perimeter with a grease pencil, her brow furrowed in tactical concentration. Bill polished a grappling hook meant for backyard fences, humming a nursery rhyme out of tune. They had robbed banks, museums, and armored convoys, but this job required unprecedented stealth. Bouncy castles posed serious tripping hazards. Face painters created unpredictable patrol patterns. The target was a fenced backyard hosting the neighborhood sixth birthday celebration. Intelligence suggested three dozen wrapped boxes sat unguarded near the potato salad. Security consisted of two exhausted parents and a golden retriever afraid of balloons. Molly adjusted her tactical vest, checking the reinforced sacks designed for bulky toys. Bill loaded tranquilizer darts specifically calibrated for hyperactive toddlers. The operation demanded military precision disguised as casual catering staff. Molly tapped the schematic twice. "Pinata first." Bill nodded while coiling nylon rope. "Then the gift table." Molly checked her watch carefully. "Clowns complicate extraction." Bill zipped his duffel bag shut. "We bring heavy earplugs." Molly smirked at the crayon drawings. "Sugar crashes definitely help." Bill cracked his knuckles loudly. "Absolutely perfect timing." They grabbed their equipment and fled into twilight.
created_at"2026-04-27T10:28:36.924Z" 4/27/2026, 10:28:36 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1839
moderation_latency(null)
generation_time248592
tokens_prompt77
tokens_completion7294
native_tokens_prompt76
native_tokens_completion9218
native_tokens_completion_images(null)
native_tokens_reasoning8951
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"
usage0.0719992
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-4a9940a6-b451-9a7e-a4c2-e8d5eeac2cb6"
is_byokfalse
latency1839
model_permaslug"qwen/qwen3.6-max-preview-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777285716-xi4BnnpUUVdJ9tiJeQ4c"
session_id(null)
api_type"completions"
id"gen-1777285716-CNIsetCSc4tSCmlkb6A6"
upstream_id"chatcmpl-4a9940a6-b451-9a7e-a4c2-e8d5eeac2cb6"
total_cost0.0719992
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%