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Run: 2026-04-27-01KQ72R5KTCW4QGSE2WKJ2CFC9
Run Details
Model:
Qwen 3.6 27B
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
937
moderation_latency
(null)
generation_time
112576
tokens_prompt
77
tokens_completion
6612
native_tokens_prompt
76
native_tokens_completion
9545
native_tokens_completion_images
(null)
native_tokens_reasoning
6299
native_tokens_cached
64
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0229498
router
(null)
provider_responses
0
endpoint_id
"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id
"014fa7fad83741cb8ade956c5dc79c8b"
is_byok
false
latency
868
model_permaslug
"qwen/qwen3.6-27b-20260422"
provider_name
"Morph"
status
200
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_cost
0.0229498
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Morph"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
199
80.43%
Dialogue to Total Word Ratio
Ratio: 83.17%, Deviation: 6.83%
neededClean
false
wordsTotal
202
wordsDialogue
168
90.2127%