Run: 2026-04-27-01KQ72R5KTCW4QGSE2WKJ2CFC9

Run Details

Duration:
1m 53s
Cost:
$0.022950
Provider:
Morph

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
80.43% Dialogue to Total Word Ratio (details)
90.2127% 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 ghillie suit, made entirely of shredded party streamers. Bill stared at the blueprints. "Okay, listen," Bill whispered. "The perimeter is guarded by a six-year-old named Timothy, three inflatable bouncy castles, and a very aggressive piñata. I'm thinking we go in through the wetsuit disguise?" "Bill, we are not wearing wetsuits at a birthday party," Molly snapped, checking her lockpicks. "We go in as magicians. "Abracadabra, your presents are gone." Classic. Timeless. The parents will be too busy photographing cupcakes to notice us vanishing with a stack of LEGO sets and signed first editions." "But the noise level is going to be deafening," Bill argued. "I can't work in a sonic environment of screaming children and polka music. Amateurs. What about the snack table?" "The snack table is our cover, you absolute walnut," Molly hissed. "We pose as caterers. We wheel in the cart. We swap the presents for identical boxes of stale crackers. The kids won’t even taste the difference until next Christmastime. We load the van, bounce the castle, and leave before the cake-cutting. Simple. Elegant. Painless." "I still say we should just ask nicely," Bill mumbled. She sighed. "Get in the van, Bill now.
created_at"2026-04-27T09:01:29.091Z" 4/27/2026, 9:01:29 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency937
moderation_latency(null)
generation_time112576
tokens_prompt77
tokens_completion6612
native_tokens_prompt76
native_tokens_completion9545
native_tokens_completion_images(null)
native_tokens_reasoning6299
native_tokens_cached64
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"
usage0.0229498
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"014fa7fad83741cb8ade956c5dc79c8b"
is_byokfalse
latency868
model_permaslug"qwen/qwen3.6-27b-20260422"
provider_name"Morph"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777280489-8brEWJlT6zfhPI0bePVX"
session_id(null)
api_type"completions"
id"gen-1777280489-Vl6GdYwEQa4UrESVG8zc"
upstream_id"014fa7fad83741cb8ade956c5dc79c8b"
total_cost0.0229498
cache_discount(null)
upstream_inference_cost0
provider_name"Morph"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
80.43% Dialogue to Total Word Ratio
Ratio: 83.17%, Deviation: 6.83%
neededCleanfalse
wordsTotal202
wordsDialogue168
90.2127%