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Run: 2026-04-27-01KQ73MZMPQTAY06JZAHN9D0Q1
Run Details
Model:
Qwen 3.6 27B
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
1m 53s
Cost:
$0.029324
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.9920%
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 glittery party mask. The backyard looked suspiciously festive today. We slip through the bounce house, she whispered. Nobody checks the kids. Brilliant, Bill replied, tapping his clipboard. What is on the inventory? Forty three LEGO sets, six race cars, suspicious glitter glue, and one expensive dinosaur. How old is the birthday boy? Seven. He will be distracted by cake and a magicians trick. And the security? Three parents with coffee stains and zero attention spans. We hit the table, bag everything, and exit before the music stops. PiƱata bags? You are a genius. I know. Swallow that lollipop and put on your clown shoes. We go at three. What if we get caught? We claim we are party favors. Move. The ice sculpture is sweating. We need the haul. Understood. I will bring duct tape and a juice box. Perfect. Do not step on the glitter. It ruins vans. Deal. Let us go make some toddlers cry. Bill nodded quietly. The getaway van idled. Time to work. Where do we dump the loot? The abandoned playground. We split at dawn. Sounds risky. Everything worth stealing is. Put on the wig. Ready. Let us roll. The engine roared to life.
created_at
"2026-04-27T09:17:13.246Z"
4/27/2026, 9:17:13 AM
model
"qwen/qwen3.6-27b-20260422"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
667
moderation_latency
(null)
generation_time
113391
tokens_prompt
77
tokens_completion
6467
native_tokens_prompt
76
native_tokens_completion
8133
native_tokens_completion_images
(null)
native_tokens_reasoning
7843
native_tokens_cached
0
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
0.0293244
router
(null)
provider_responses
0
endpoint_id
"82097366-3a73-4790-ac36-f96ba9f6f577"
id
"chatcmpl-25fa6dac-a540-986f-9ae0-5afbf8b2545a"
is_byok
false
latency
667
model_permaslug
"qwen/qwen3.6-27b-20260422"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777281433-qRhclL00a8Qz7NqS4BqI"
session_id
(null)
api_type
"completions"
id
"gen-1777281433-AaC4p0YuQszXGmJZc3TP"
upstream_id
"chatcmpl-25fa6dac-a540-986f-9ae0-5afbf8b2545a"
total_cost
0.0293244
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.98%
Matches word count
n/a
neededClean
false
words
202
0.00%
Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 90.00%
neededClean
false
wordsTotal
202
wordsDialogue
0
49.9920%