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Run: 2026-09-03-01M1M06ANJVRVDX9NPTY7218AC
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
4m 24s
Cost:
$0.045477
Provider:
Novita
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 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 leaned over small cups. "Bill, we need to break into the kids party and steal all the presents here, quietly, soon, right now, please." Bill adjusted his tiny hat. "Molly, I will pose as the juice box, and you will be the balloon arch, and the party hat signals." Molly hid behind the cake. "Bill, we cannot steal wrapped gifts while wearing paper crowns, but we can steal them anyway, using only elbows quickly." Bill pointed at the wagon. "Molly, the clown has a bag of crumpled wishes, but I want the shiny robot present with a red button." "Bill, I will distract the children by making the pinata sing, then we grab the presents and vanish with them." "Molly, if a child notices us, we will offer candy, apologize loudly, and pretend we are birthday angels for real." "Bill, my brother is the birthday boy, which means he knows every present hiding spot before we arrive very early." "Molly, we will load every gift into the wagon, but leave one ugly doll to look natural for the adults." "Bill, when the parents arrive, we run, and our new fortune begins with a plastic pony that was mine once."
created_at
"2026-09-03T16:03:53.151Z"
9/3/2026, 4:03:53 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
526
moderation_latency
(null)
generation_time
263285
tokens_prompt
75
tokens_completion
12835
native_tokens_prompt
114
native_tokens_completion
15143
native_tokens_completion_images
(null)
native_tokens_reasoning
14873
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"
service_tier
(null)
usage
0.04547688
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788451433-G8GkaKJCZUzyYrsggSyJ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788451433-bPvN0z5qjO9cbMKcmbJr"
upstream_id
"3df4a9d4fecb93d878bf5ff654c0e5d9"
provider_responses
0
endpoint_id
"2af35fbf-0463-4d96-96d1-1e82b1a46dc7"
id
"3df4a9d4fecb93d878bf5ff654c0e5d9"
is_byok
false
latency
526
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Novita"
status
200
total_cost
0.04547688
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Novita"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%